Conditional Generative Adversarial Nets

Abstract

Generative Adversarial Nets [8] were recently introduced as a novel way to train generative models. In this work we introduce the conditional version of generative adversarial nets, which can be constructed by simply feeding the data, y, we wish to condition on to both the generator and discriminator. We show that this model can generate MNIST digits conditioned on class labels. We also illustrate how this model could be used to learn a multi-modal model, and provide preliminary examples of an application to image tagging in which we demonstrate how this approach can generate descriptive tags which are not part of training labels.

References in corpus (4)

• Improving neural networks by preventing co-adaptation of feature detectors
• Going Deeper with Convolutions
• Better Mixing via Deep Representations
• Pylearn2: a machine learning research library

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• Weather GAN: Multi-Domain Weather Translation Using Generative Adversarial Networks
• Cross-domain Correspondence Learning for Exemplar-based Image Translation
• Learning Loss Functions for Semi-supervised Learning via Discriminative Adversarial Networks
• Speech-Driven Facial Reenactment Using Conditional Generative Adversarial Networks
• Comparative Study on Generative Adversarial Networks
• Unsupervised Adversarial Attacks on Deep Feature-based Retrieval with GAN
• Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties
• X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative Adversarial Networks
• Ultra-High-Resolution Detector Simulation with Intra-Event Aware GAN and Self-Supervised Relational Reasoning
• Controllable Data Generation by Deep Learning: A Review
• Time-Agnostic Prediction: Predicting Predictable Video Frames
• FaceShop: Deep Sketch-based Face Image Editing
• Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation Study
• Learning to Deblur and Generate High Frame Rate Video with an Event Camera
• DP-Image: Differential Privacy for Image Data in Feature Space
• A Probe Towards Understanding GAN and VAE Models
• Learning Texture Manifolds with the Periodic Spatial GAN
• FCC-GAN: A Fully Connected and Convolutional Net Architecture for GANs
• Semi-supervised Image Attribute Editing using Generative Adversarial Networks
• IGNOR: Image-guided Neural Object Rendering
• Text-to-Image-to-Text Translation using Cycle Consistent Adversarial Networks
• Generative Adversarial Networks: A Survey Towards Private and Secure Applications
• Regularizing Deep Networks with Semantic Data Augmentation
• SURIMI: Supervised Radio Map Augmentation with Deep Learning and a Generative Adversarial Network for Fingerprint-based Indoor Positioning
• 3D fluorescence microscopy data synthesis for segmentation and benchmarking
• Behavioural Repertoire via Generative Adversarial Policy Networks
• Neural Language Generation: Formulation, Methods, and Evaluation
• Multi-label Image Classification using Adaptive Graph Convolutional Networks: from a Single Domain to Multiple Domains
• Unstoppable Attack: Label-Only Model Inversion via Conditional Diffusion Model
• Learning Kernel for Conditional Moment-Matching Discrepancy-based Image Classification
• High-Quality Face Image SR Using Conditional Generative Adversarial Networks
• A hybrid quantum-classical conditional generative adversarial network algorithm for human-centered paradigm in cloud
• Gang of GANs: Generative Adversarial Networks with Maximum Margin Ranking
• Controllable Person Image Synthesis with Attribute-Decomposed GAN
• MGait: Model-Based Gait Analysis Using Wearable Bend and Inertial Sensors
• Towards generative adversarial networks as a new paradigm for radiology education
• CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy
• Exploiting the Generative Adversarial Network Approach to Create a Synthetic Topography Corneal Image
• Data Augmentation and Classification of Sea-Land Clutter for Over-the-Horizon Radar Using AC-VAEGAN
• Synthesizing time-series wound prognosis factors from electronic medical records using generative adversarial networks
• GAN Prior Embedded Network for Blind Face Restoration in the Wild
• Applications of machine learning in gravitational wave research with current interferometric detectors
• CGAN-ECT: Tomography Image Reconstruction from Electrical Capacitance Measurements Using CGANs
• Generative Adversarial Networks Applied to Synthetic Financial Scenarios Generation
• Towards resilient machine learning for ransomware detection
• Human Motion Transfer with 3D Constraints and Detail Enhancement
• Adversarial Learning for Improved Onsets and Frames Music Transcription
• MRI Cross-Modality NeuroImage-to-NeuroImage Translation
• Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free
• QGAN: Quantized Generative Adversarial Networks
• Multi-hop Federated Private Data Augmentation with Sample Compression
• CrystalGAN: Learning to Discover Crystallographic Structures with Generative Adversarial Networks
• Bandwidth Extension on Raw Audio via Generative Adversarial Networks
• GeoGAN: A Conditional GAN with Reconstruction and Style Loss to Generate Standard Layer of Maps from Satellite Images
• DarkDeblur: Learning single-shot image deblurring in low-light condition
• A unified framework for 21cm tomography sample generation and parameter inference with Progressively Growing GANs
• Fast and Scalable Earth Texture Synthesis using Spatially Assembled Generative Adversarial Neural Networks
• Materials Discovery with Extreme Properties via Reinforcement Learning-Guided Combinatorial Chemistry
• Towards Adversarial Denoising of Radar Micro-Doppler Signatures
• Transferring GANs: generating images from limited data
• Boosting EfficientNets Ensemble Performance via Pseudo-Labels and Synthetic Images by pix2pixHD for Infection and Ischaemia Classification in Diabetic Foot Ulcers
• Massive Data Generation for Deep Learning-aided Wireless Systems Using Meta Learning and Generative Adversarial Network
• Encoding Invariances in Deep Generative Models
• Quantifying the Preferential Direction of the Model Gradient in Adversarial Training With Projected Gradient Descent
• STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing
• CCMI : Classifier based Conditional Mutual Information Estimation
• Fast Diffusion EM: a diffusion model for blind inverse problems with application to deconvolution
• Generative adversarial networks and adversarial methods in biomedical image analysis
• Using Scene Graph Context to Improve Image Generation
• Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks
• Characterizing Bias in Classifiers using Generative Models
• DeepFlash: Turning a Flash Selfie into a Studio Portrait
• Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures
• FairFaceGAN: Fairness-aware Facial Image-to-Image Translation
• Image Based Food Energy Estimation With Depth Domain Adaptation
• An Adversarial Approach to High-Quality, Sentiment-Controlled Neural Dialogue Generation
• Attacking Speaker Recognition With Deep Generative Models
• Adversarial regression training for visualizing the progression of chronic obstructive pulmonary disease with chest x-rays
• Investigating Cosmological GAN Emulators Using Latent Space Interpolation
• SafeCritic: Collision-Aware Trajectory Prediction
• Deep Nets: What have they ever done for Vision?
• Text and Style Conditioned GAN for Generation of Offline Handwriting Lines
• COVID-19 CT Image Synthesis with a Conditional Generative Adversarial Network
• Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness
• Model Inversion Networks for Model-Based Optimization
• Learning Layout and Style Reconfigurable GANs for Controllable Image Synthesis
• Task-Aware Variational Adversarial Active Learning
• ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks
• Privacy-Preserving Data Sharing in Agriculture: Enforcing Policy Rules for Secure and Confidential Data Synthesis
• End-to-End Learning of Geometric Deformations of Feature Maps for Virtual Try-On
• Load Balanced GANs for Multi-view Face Image Synthesis
• Compatible and Diverse Fashion Image Inpainting
• Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning
• Generalised gravitational burst generation with Generative Adversarial Networks
• SWAGAN: A Style-based Wavelet-driven Generative Model
• Relaxed Wasserstein with Applications to GANs
• Image-to-Image Translation: Methods and Applications
• Labeled Graph Generative Adversarial Networks
• Conditional Generative Neural System for Probabilistic Trajectory Prediction
• Wasserstein-2 Generative Networks
• CariGAN: Caricature Generation through Weakly Paired Adversarial Learning
• PathGAN: Visual Scanpath Prediction with Generative Adversarial Networks
• Deep Illumination: Approximating Dynamic Global Illumination with Generative Adversarial Network
• Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalization
• A survey of machine learning-based physics event generation
• A Gentle Introduction and Tutorial on Deep Generative Models in Transportation Research
• Exploring DeshuffleGANs in Self-Supervised Generative Adversarial Networks
• Benchmarking Regression Methods: A comparison with CGAN
• GAN-Aimbots: Using Machine Learning for Cheating in First Person Shooters
• Augmenting correlation structures in spatial data using deep generative models
• Unsupervised Person Image Synthesis in Arbitrary Poses
• Mapping the Landscape of Generative AI in Network Monitoring and Management
• HashGAN:Attention-aware Deep Adversarial Hashing for Cross Modal Retrieval
• From Third Person to First Person: Dataset and Baselines for Synthesis and Retrieval
• StarGAN-VC2: Rethinking Conditional Methods for StarGAN-Based Voice Conversion
• ArtGAN: Artwork Synthesis with Conditional Categorical GANs
• Privacy-Preserving In-Bed Pose Monitoring: A Fusion and Reconstruction Study
• Towards Understanding Adversarial Examples Systematically: Exploring Data Size, Task and Model Factors
• Message Passing Multi-Agent GANs
• IR-GAN: Image Manipulation with Linguistic Instruction by Increment Reasoning
• Cross-modal Hallucination for Few-shot Fine-grained Recognition
• Age-Oriented Face Synthesis with Conditional Discriminator Pool and Adversarial Triplet Loss
• Adversarial training approach for local data debiasing
• Overcoming Language Priors in Visual Question Answering with Adversarial Regularization
• Adma-GAN: Attribute-Driven Memory Augmented GANs for Text-to-Image Generation
• Towards Multi-pose Guided Virtual Try-on Network
• Reconstruction Student with Attention for Student-Teacher Pyramid Matching
• CasTGAN: Cascaded Generative Adversarial Network for Realistic Tabular Data Synthesis
• Learning to Globally Edit Images with Textual Description
• Integrating GAN and Texture Synthesis for Enhanced Road Damage Detection
• $c^{+}$GAN: Complementary Fashion Item Recommendation
• Energy-based Models for Video Anomaly Detection
• Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation
• Conditional Infilling GANs for Data Augmentation in Mammogram Classification
• Structured Knowledge Distillation for Dense Prediction
• Only a Matter of Style: Age Transformation Using a Style-Based Regression Model
• Scalable Gaussian Process Variational Autoencoders
• Semi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approach
• A New Multi-vehicle Trajectory Generator to Simulate Vehicle-to-Vehicle Encounters
• ViHOPE: Visuotactile In-Hand Object 6D Pose Estimation with Shape Completion
• Quantum State Tomography with Conditional Generative Adversarial Networks
• Robust Cross-View Gait Recognition with Evidence: A Discriminant Gait GAN (DiGGAN) Approach
• Watermark Faker: Towards Forgery of Digital Image Watermarking
• A Specific Task-oriented Semantic Image Communication System for substation patrol inspection
• Generating Realistic Training Images Based on Tonality-Alignment Generative Adversarial Networks for Hand Pose Estimation
• Negative Momentum for Improved Game Dynamics
• MoistNet: Machine Vision-based Deep Learning Models for Wood Chip Moisture Content Measurement
• Data--driven Image Restoration with Option--driven Learning for Big and Small Astronomical Image Datasets
• Photorealistic Facial Expression Synthesis by the Conditional Difference Adversarial Autoencoder
• Channel Agnostic End-to-End Learning based Communication Systems with Conditional GAN
• On the Effectiveness of Least Squares Generative Adversarial Networks
• Conditional Born machine for Monte Carlo event generation
• FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition
• A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling
• Score and Lyrics-Free Singing Voice Generation
• Map completion from partial observation using the global structure of multiple environmental maps
• Region Based Adversarial Synthesis of Facial Action Units
• Ranking CGANs: Subjective Control over Semantic Image Attributes
• SRGAN: Training Dataset Matters
• Facial Aging and Rejuvenation by Conditional Multi-Adversarial Autoencoder with Ordinal Regression
• Interactive Generative Adversarial Networks for Facial Expression Generation in Dyadic Interactions
• Deep Learning for Breast MRI Style Transfer with Limited Training Data
• Learning to Sketch with Shortcut Cycle Consistency
• Revisiting Stochastic Extragradient
• PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design
• Kernel Change-point Detection with Auxiliary Deep Generative Models
• The Six Fronts of the Generative Adversarial Networks
• SARGAN: Spatial Attention-based Residuals for Facial Expression Manipulation
• Sage: Leveraging ML to Diagnose Unpredictable Performance in Cloud Microservices
• PA-GAN: Progressive Attention Generative Adversarial Network for Facial Attribute Editing
• Synthetic Data Generation for Fraud Detection using GANs
• Exploring Bias in GAN-based Data Augmentation for Small Samples
• CANU-ReID: A Conditional Adversarial Network for Unsupervised person Re-IDentification
• AlignGAN: Learning to Align Cross-Domain Images with Conditional Generative Adversarial Networks
• Common Spatial Generative Adversarial Networks based EEG Data Augmentation for Cross-Subject Brain-Computer Interface
• Robust Multi-Modal Sensor Fusion: An Adversarial Approach
• GramGAN: Deep 3D Texture Synthesis From 2D Exemplars
• Seq2Seq2Sentiment: Multimodal Sequence to Sequence Models for Sentiment Analysis
• Hallucinative Topological Memory for Zero-Shot Visual Planning
• CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language
• Global and Local Consistent Age Generative Adversarial Networks
• A Utility-Preserving GAN for Face Obscuration
• Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
• Non-Parametric Data-Driven Background Modelling using Conditional Probabilities
• Procedural content generation of puzzle games using conditional generative adversarial networks
• Semi-Supervised StyleGAN for Disentanglement Learning
• Improving Automatic Skin Lesion Segmentation using Adversarial Learning based Data Augmentation
• Gradually Vanishing Bridge for Adversarial Domain Adaptation
• Improving Perceptual Quality of Drum Transcription with the Expanded Groove MIDI Dataset
• Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks
• Distributed Conditional Generative Adversarial Networks (GANs) for Data-Driven Millimeter Wave Communications in UAV Networks
• SPI-GAN: Towards Single-Pixel Imaging through Generative Adversarial Network
• Synthetic to Real Adaptation with Generative Correlation Alignment Networks
• Task Specific Adversarial Cost Function
• Deep Learning for Launching and Mitigating Wireless Jamming Attacks
• Improving Video Generation for Multi-functional Applications
• Creatism: A deep-learning photographer capable of creating professional work
• Biomedical text summarization using Conditional Generative Adversarial Network(CGAN)
• From MIM-Based GAN to Anomaly Detection:Event Probability Influence on Generative Adversarial Networks
• Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks
• Study of Deep Generative Models for Inorganic Chemical Compositions
• Training Invertible Neural Networks as Autoencoders
• Domain-knowledge Inspired Pseudo Supervision (DIPS) for Unsupervised Image-to-Image Translation Models to Support Cross-Domain Classification
• UGAN: Untraceable GAN for Multi-Domain Face Translation
• From source to target and back: symmetric bi-directional adaptive GAN
• Scalable Unbalanced Optimal Transport using Generative Adversarial Networks
• City-GAN: Learning architectural styles using a custom Conditional GAN architecture
• End-to-End Chinese Landscape Painting Creation Using Generative Adversarial Networks
• RDFC-GAN: RGB-Depth Fusion CycleGAN for Indoor Depth Completion
• Robust Image Segmentation Quality Assessment
• Active Image Synthesis for Efficient Labeling
• Synthetic Test Data Generation Using Recurrent Neural Networks: A Position Paper
• From Inference to Generation: End-to-end Fully Self-supervised Generation of Human Face from Speech
• Latent Translation: Crossing Modalities by Bridging Generative Models
• Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization
• Explanation by Progressive Exaggeration
• Medical Image Generation using Generative Adversarial Networks
• What Will Your Child Look Like? DNA-Net: Age and Gender Aware Kin Face Synthesizer
• Unsupervised Image Noise Modeling with Self-Consistent GAN
• Generative Adversarial Networks for Failure Prediction
• Improving Heterogeneous Face Recognition with Conditional Adversarial Networks
• DeepFaceEditing: Deep Face Generation and Editing with Disentangled Geometry and Appearance Control
• MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait Editing
• Text to Image Synthesis using Stacked Conditional Variational Autoencoders and Conditional Generative Adversarial Networks
• Classification and reconstruction of optical quantum states with deep neural networks
• SAG-GAN: Semi-Supervised Attention-Guided GANs for Data Augmentation on Medical Images
• Competitive Training of Mixtures of Independent Deep Generative Models
• Improving Neural Silent Speech Interface Models by Adversarial Training
• GlyphGAN: Style-Consistent Font Generation Based on Generative Adversarial Networks
• ContextMix: A context-aware data augmentation method for industrial visual inspection systems
• Correlated discrete data generation using adversarial training
• A Fine-Grained Facial Expression Database for End-to-End Multi-Pose Facial Expression Recognition
• Blood Vessel Geometry Synthesis using Generative Adversarial Networks
• Dense Intrinsic Appearance Flow for Human Pose Transfer
• FTGAN: A Fully-trained Generative Adversarial Networks for Text to Face Generation
• Ways of Conditioning Generative Adversarial Networks
• Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning
• AdvSPADE: Realistic Unrestricted Attacks for Semantic Segmentation
• An Error Detection and Correction Framework for Connectomics
• Disentangling Multiple Conditional Inputs in GANs
• Direct mapping from PET coincidence data to proton-dose and positron activity using a deep learning approach
• On the Extrapolation of Generative Adversarial Networks for downscaling precipitation extremes in warmer climates
• 3D Brain and Heart Volume Generative Models: A Survey
• Surprising Negative Results for Generative Adversarial Tree Search
• Generative Adversarial Zero-shot Learning via Knowledge Graphs
• Generating unrepresented proportions of geological facies using Generative Adversarial Networks
• Conditional out-of-sample generation for unpaired data using trVAE
• Image Morphing with Perceptual Constraints and STN Alignment
• Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization
• PISE: Person Image Synthesis and Editing with Decoupled GAN
• Survey on Visual Signal Coding and Processing with Generative Models: Technologies, Standards and Optimization
• Deep Learning based End-to-End Wireless Communication Systems with Conditional GAN as Unknown Channel
• Two-phase Hair Image Synthesis by Self-Enhancing Generative Model
• Versatile Auxiliary Classifier with Generative Adversarial Network (VAC+GAN), Multi Class Scenarios
• Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space
• Distillation Techniques for Pseudo-rehearsal Based Incremental Learning
• Controllable Generative Adversarial Network
• Deep Reasoning Networks: Thinking Fast and Slow
• Example Forgetting: A Novel Approach to Explain and Interpret Deep Neural Networks in Seismic Interpretation
• cGANs with Multi-Hinge Loss
• Conditional Injective Flows for Bayesian Imaging
• Image Comes Dancing with Collaborative Parsing-Flow Video Synthesis
• Learning to Augment Expressions for Few-shot Fine-grained Facial Expression Recognition
• 3D Conditional Generative Adversarial Networks to enable large-scale seismic image enhancement
• IterGANs: Iterative GANs to Learn and Control 3D Object Transformation
• FaR-GAN for One-Shot Face Reenactment
• Unsupervised Pose Flow Learning for Pose Guided Synthesis
• RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks
• ChildPredictor: A Child Face Prediction Framework with Disentangled Learning
• Music FaderNets: Controllable Music Generation Based On High-Level Features via Low-Level Feature Modelling
• Multi-Task Generative Adversarial Network for Handling Imbalanced Clinical Data
• Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration
• Categorical EHR Imputation with Generative Adversarial Nets
• Modular Generative Adversarial Networks
• privGAN: Protecting GANs from membership inference attacks at low cost
• New Era of Deeplearning-Based Malware Intrusion Detection: The Malware Detection and Prediction Based On Deep Learning
• LatteGAN: Visually Guided Language Attention for Multi-Turn Text-Conditioned Image Manipulation
• Sampling-based speech parameter generation using moment-matching networks
• AdvGAN++ : Harnessing latent layers for adversary generation
• Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning
• Visual Data Synthesis via GAN for Zero-Shot Video Classification
• See Through Smoke: Robust Indoor Mapping with Low-cost mmWave Radar
• Adversarial nets with perceptual losses for text-to-image synthesis
• Improving Automated Sonar Video Analysis to Notify About Jellyfish Blooms
• Unbiased Auxiliary Classifier GANs with MINE
• Machine Learning and Polymer Self-Consistent Field Theory in Two Spatial Dimensions
• Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation
• Human Action Generation with Generative Adversarial Networks
• BlendScape: Enabling End-User Customization of Video-Conferencing Environments through Generative AI
• Three-stage binarization of color document images based on discrete wavelet transform and generative adversarial networks
• Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction
• Neural Rendering and Reenactment of Human Actor Videos
• Fast Real-time Counterfactual Explanations
• X-GANs: Image Reconstruction Made Easy for Extreme Cases
• Data-driven Estimation of Background Distribution through Neural Autoregressive Flows
• Pose Guided Human Video Generation
• Detection, Attribution and Localization of GAN Generated Images
• XingGAN for Person Image Generation
• Human Motion Transfer from Poses in the Wild
• COCO-GAN: Generation by Parts via Conditional Coordinating
• High Resolution Millimeter Wave Imaging For Self-Driving Cars
• MulGAN: Facial Attribute Editing by Exemplar
• Key Protected Classification for Collaborative Learning
• Machine learning based co-creative design framework
• Using generative adversarial networks to synthesize artificial financial datasets
• Comparing Generative Adversarial Network Techniques for Image Creation and Modification
• Face-to-Parameter Translation for Game Character Auto-Creation
• Creating High Resolution Images with a Latent Adversarial Generator
• Vision and Language: from Visual Perception to Content Creation
• GILT: Generating Images from Long Text
• Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation
• Cascade EF-GAN: Progressive Facial Expression Editing with Local Focuses
• PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain
• Open Set Recognition with Conditional Probabilistic Generative Models
• Vid2Game: Controllable Characters Extracted from Real-World Videos
• An Introduction to Person Re-identification with Generative Adversarial Networks
• Approximating Constraint Manifolds Using Generative Models for Sampling-Based Constrained Motion Planning
• A spin-glass model for the loss surfaces of generative adversarial networks
• Generative ensemble deep learning severe weather prediction from a deterministic convection-allowing model
• Connecting Touch and Vision via Cross-Modal Prediction
• Generative Adversarial Network based on Resnet for Conditional Image Restoration
• Detect and remove watermark in deep neural networks via generative adversarial networks
• ChartPointFlow for Topology-Aware 3D Point Cloud Generation
• EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs
• AI Illustrator: Translating Raw Descriptions into Images by Prompt-based Cross-Modal Generation
• Galaxy Image Translation with Semi-supervised Noise-reconstructed Generative Adversarial Networks
• Fast and computationally efficient generative adversarial network algorithm for unmanned aerial vehicle-based network coverage optimization
• Learning from a Complementary-label Source Domain: Theory and Algorithms
• Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial Networks
• DeshuffleGAN: A Self-Supervised GAN to Improve Structure Learning
• Multi-View Data Generation Without View Supervision
• Two Birds with One Stone: Transforming and Generating Facial Images with Iterative GAN
• Never Forget: Balancing Exploration and Exploitation via Learning Optical Flow
• Deep Generative Modeling-based Data Augmentation with Demonstration using the BFBT Benchmark Void Fraction Datasets
• Uncertainties associated with GAN-generated datasets in high energy physics
• Evaluating Robustness to Context-Sensitive Feature Perturbations of Different Granularities
• Deep Tactile Experience: Estimating Tactile Sensor Output from Depth Sensor Data
• Triple Generative Adversarial Networks
• Flow Models for Arbitrary Conditional Likelihoods
• iSEGAN: Improved Speech Enhancement Generative Adversarial Networks
• Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation
• VAE-Info-cGAN: Generating Synthetic Images by Combining Pixel-level and Feature-level Geospatial Conditional Inputs
• Segmenting Objects in Day and Night:Edge-Conditioned CNN for Thermal Image Semantic Segmentation
• Leave Zero Out: Towards a No-Cross-Validation Approach for Model Selection
• Controllable and Progressive Image Extrapolation
• Generative Adversarial U-Net for Domain-free Medical Image Augmentation
• Task-Aware Feature Generation for Zero-Shot Compositional Learning
• Image-to-image Translation via Hierarchical Style Disentanglement
• Adaptive Generation of Unrestricted Adversarial Inputs
• Data-driven Seismic Waveform Inversion: A Study on the Robustness and Generalization
• DG-Font: Deformable Generative Networks for Unsupervised Font Generation
• Adversarial Approximate Inference for Speech to Electroglottograph Conversion
• Variational Implicit Processes
• Generative modeling of spatio-temporal weather patterns with extreme event conditioning
• Multi-Mapping Image-to-Image Translation with Central Biasing Normalization
• A Survey and Taxonomy of Adversarial Neural Networks for Text-to-Image Synthesis
• The Neural Painter: Multi-Turn Image Generation
• 2D Image Relighting with Image-to-Image Translation
• Enhancing the Performance of Practical Profiling Side-Channel Attacks Using Conditional Generative Adversarial Networks
• SingleGAN: Image-to-Image Translation by a Single-Generator Network using Multiple Generative Adversarial Learning
• Towards Diverse Paraphrase Generation Using Multi-Class Wasserstein GAN
• Generative One-Shot Face Recognition
• Mask-Guided Portrait Editing with Conditional GANs
• Knowledge-based Radiation Treatment Planning: A Data-driven Method Survey
• Multi-modal AsynDGAN: Learn From Distributed Medical Image Data without Sharing Private Information
• ACR-Pose: Adversarial Canonical Representation Reconstruction Network for Category Level 6D Object Pose Estimation
• Unsupervised Anomaly Segmentation using Image-Semantic Cycle Translation
• Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition
• Novel View Synthesis for Large-scale Scene using Adversarial Loss
• A Data-Centric Approach for Training Deep Neural Networks with Less Data
• Foreground Removal of CO Intensity Mapping Using Deep Learning
• Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association
• A tomographic spherical mass map emulator of the KiDS-1000 survey using conditional generative adversarial networks
• MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models
• Recent Advances of Image Steganography with Generative Adversarial Networks
• CounteRGAN: Generating Realistic Counterfactuals with Residual Generative Adversarial Nets
• Spatial Fusion GAN for Image Synthesis
• GLIP: Electromagnetic Field Exposure Map Completion by Deep Generative Networks
• Advances in Medical Image Segmentation: A Comprehensive Survey with a Focus on Lumbar Spine Applications
• Scene relighting with illumination estimation in the latent space on an encoder-decoder scheme
• Tagging like Humans: Diverse and Distinct Image Annotation
• Designing nanophotonic structures using conditional-deep convolutional generative adversarial networks
• Gated Context Model with Embedded Priors for Deep Image Compression
• Group Equivariant Generative Adversarial Networks
• Generative learning for the problem of critical slowing down in lattice Gross Neveu model
• Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach
• Write-a-speaker: Text-based Emotional and Rhythmic Talking-head Generation
• Generating Realistic Stock Market Order Streams
• Learning to Forecast and Refine Residual Motion for Image-to-Video Generation
• Progressive Point Cloud Deconvolution Generation Network
• A Visualized Malware Detection Framework with CNN and Conditional GAN
• Generating Text Sequence Images for Recognition
• Disentangling and Learning Robust Representations with Natural Clustering
• Multi-modal Visual Place Recognition in Dynamics-Invariant Perception Space
• Points2Pix: 3D Point-Cloud to Image Translation using conditional Generative Adversarial Networks
• Conditional GANs with Auxiliary Discriminative Classifier
• Face Completion with Semantic Knowledge and Collaborative Adversarial Learning
• Fine-Grained Image Captioning with Global-Local Discriminative Objective
• Continuous Conditional Generative Adversarial Networks: Novel Empirical Losses and Label Input Mechanisms
• Generative Adversarial Networks with Physical Evaluators for Spray Simulation of Pintle Injector
• RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion
• Two-stage generative adversarial networks for document image binarization with color noise and background removal
• Image to Image Translation : Generating maps from satellite images
• GAN for Vision, KG for Relation: a Two-stage Deep Network for Zero-shot Action Recognition
• An Identity-Preserved Framework for Human Motion Transfer
• Learning Compositional Visual Concepts with Mutual Consistency
• Unsupervised Multi-Domain Image Translation with Domain-Specific Encoders/Decoders
• Fully-Featured Attribute Transfer
• On The State of Data In Computer Vision: Human Annotations Remain Indispensable for Developing Deep Learning Models
• Cycle Text-To-Image GAN with BERT
• Palm-GAN: Generating Realistic Palmprint Images Using Total-Variation Regularized GAN
• Uncertainty Inspired RGB-D Saliency Detection
• Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing Risks
• Oral-3D: Reconstructing the 3D Bone Structure of Oral Cavity from 2D Panoramic X-ray
• GANwriting: Content-Conditioned Generation of Styled Handwritten Word Images
• Teachers Do More Than Teach: Compressing Image-to-Image Models
• Multi-Domain Level Generation and Blending with Sketches via Example-Driven BSP and Variational Autoencoders
• DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification
• Anomaly Detection using Deep Reconstruction and Forecasting for Autonomous Systems
• A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
• Co-VeGAN: Complex-Valued Generative Adversarial Network for Compressive Sensing MR Image Reconstruction
• TV-GAN: Generative Adversarial Network Based Thermal to Visible Face Recognition
• Pedestrian Wind Factor Estimation in Complex Urban Environments
• NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency
• Learning Disentangling and Fusing Networks for Face Completion Under Structured Occlusions
• On Data Augmentation and Adversarial Risk: An Empirical Analysis
• Accurate generation of stochastic dynamics based on multi-model Generative Adversarial Networks
• Conditional Density Estimation, Latent Variable Discovery and Optimal Transport
• Leveraging Visual Question Answering to Improve Text-to-Image Synthesis
• Adversarial Learning of General Transformations for Data Augmentation
• Image Generation from Layout
• Diverse Image Synthesis from Semantic Layouts via Conditional IMLE
• DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer
• Cascade Attention Guided Residue Learning GAN for Cross-Modal Translation
• Label-Noise Robust Generative Adversarial Networks
• Image Captioning Based on a Hierarchical Attention Mechanism and Policy Gradient Optimization
• Conditional Generative Models for Counterfactual Explanations
• Training Federated GANs with Theoretical Guarantees: A Universal Aggregation Approach
• MITNet: GAN Enhanced Magnetic Induction Tomography Based on Complex CNN
• JGAN: A Joint Formulation of GAN for Synthesizing Images and Labels
• Conditional Adversarial Networks for Multi-Domain Text Classification
• KG-GAN: Knowledge-Guided Generative Adversarial Networks
• Variational Inference for Computational Imaging Inverse Problems
• Handloom Design Generation Using Generative Networks
• AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation
• Versatile Auxiliary Regressor with Generative Adversarial network (VAR+GAN)
• What Is It Like Down There? Generating Dense Ground-Level Views and Image Features From Overhead Imagery Using Conditional Generative Adversarial Networks
• Discovering Fair Representations in the Data Domain
• VoxelAtlasGAN: 3D Left Ventricle Segmentation on Echocardiography with Atlas Guided Generation and Voxel-to-voxel Discrimination
• GestureGAN for Hand Gesture-to-Gesture Translation in the Wild
• FIGO: Enhanced Fingerprint Identification Approach Using GAN and One Shot Learning Techniques
• Reciprocal Translation between SAR and Optical Remote Sensing Images with Cascaded-Residual Adversarial Networks
• Sequential Attention GAN for Interactive Image Editing
• Deep Cross-Modal Audio-Visual Generation
• Chinese Typeface Transformation with Hierarchical Adversarial Network
• Using a Conditional Generative Adversarial Network to Control the Statistical Characteristics of Generated Images for IACT Data Analysis
• MammoGANesis: Controlled Generation of High-Resolution Mammograms for Radiology Education
• Recapture as You Want
• Generative Class-conditional Autoencoders
• Predicting Rapid Fire Growth (Flashover) Using Conditional Generative Adversarial Networks
• Statistical Parametric Speech Synthesis Using Generative Adversarial Networks Under A Multi-task Learning Framework
• FMRI data augmentation via synthesis
• Conditional Density Estimation with Neural Networks: Best Practices and Benchmarks
• Conditional Adversarial Generative Flow for Controllable Image Synthesis
• Generative adversarial networks for generation and classification of physical rehabilitation movement episodes
• Text-to-Image Generation with Attention Based Recurrent Neural Networks
• Multimodal Generative Models for Compositional Representation Learning
• Adversarial Colorization Of Icons Based On Structure And Color Conditions
• Causal Adversarial Network for Learning Conditional and Interventional Distributions
• TSIT: A Simple and Versatile Framework for Image-to-Image Translation
• SegAttnGAN: Text to Image Generation with Segmentation Attention
• Machine-learned 3D Building Vectorization from Satellite Imagery
• When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework
• A Novel Adaptive Deep Network for Building Footprint Segmentation
• Self-labeled Conditional GANs
• Statistical analysis of Wasserstein GANs with applications to time series forecasting
• CDCGen: Cross-Domain Conditional Generation via Normalizing Flows and Adversarial Training
• G-VAE, a Geometric Convolutional VAE for ProteinStructure Generation
• On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework
• PERT: A Progressively Region-based Network for Scene Text Removal
• Generative Adversarial Networks for Scintillation Signal Simulation in EXO-200
• CLIP4Sketch: Enhancing Sketch to Mugshot Matching through Dataset Augmentation using Diffusion Models
• Site-Specific Ground Motion Generative Model for Crustal Earthquakes in Japan Based on Generative Adversarial Networks
• Robust Pose Transfer with Dynamic Details using Neural Video Rendering
• Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery
• Style-based Point Generator with Adversarial Rendering for Point Cloud Completion
• Semi-Supervised Learning of Mutually Accelerated MRI Synthesis without Fully-Sampled Ground Truths
• Decision-Aware Conditional GANs for Time Series Data
• LGVTON: A Landmark Guided Approach to Virtual Try-On
• Adaptive Object Detection with Dual Multi-Label Prediction
• Latent-Space Laplacian Pyramids for Adversarial Representation Learning with 3D Point Clouds
• Confederated Machine Learning on Horizontally and Vertically Separated Medical Data for Large-Scale Health System Intelligence
• SDIT: Scalable and Diverse Cross-domain Image Translation
• Probabilistic Residual Learning for Aleatoric Uncertainty in Image Restoration
• Synthetic Augmentation and Feature-based Filtering for Improved Cervical Histopathology Image Classification
• Data augmentation with Symbolic-to-Real Image Translation GANs for Traffic Sign Recognition
• cGANs with Conditional Convolution Layer
• FReeNet: Multi-Identity Face Reenactment
• Transfer feature generating networks with semantic classes structure for zero-shot learning
• Learning to Take Directions One Step at a Time
• Adversarial Video Compression Guided by Soft Edge Detection
• Generative Adversarial Frontal View to Bird View Synthesis
• Mimic and Classify : A meta-algorithm for Conditional Independence Testing
• Addressing Class Imbalance in Classification Problems of Noisy Signals by using Fourier Transform Surrogates
• A Large-scale Attribute Dataset for Zero-shot Learning
• Improving Robustness and Generality of NLP Models Using Disentangled Representations
• Unsupervised Sketch-to-Photo Synthesis
• Multi-Domain Image Completion for Random Missing Input Data
• Autoencoding Generative Adversarial Networks
• Demand Forecasting from Spatiotemporal Data with Graph Networks and Temporal-Guided Embedding
• Temporally coherent video anonymization through GAN inpainting
• Unsupervised Change Detection in Satellite Images with Generative Adversarial Network
• A Wasserstein GAN model with the total variational regularization
• Image Super-Resolution Using VDSR-ResNeXt and SRCGAN
• Conditional Image Generation and Manipulation for User-Specified Content
• Trajectory Prediction with Latent Belief Energy-Based Model
• Handwritten Chinese Font Generation with Collaborative Stroke Refinement
• On the Diversity of Realistic Image Synthesis
• Color Constancy by GANs: An Experimental Survey
• PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning
• Label-Noise Robust Multi-Domain Image-to-Image Translation
• Scalable Balanced Training of Conditional Generative Adversarial Neural Networks on Image Data
• Synthetic Sample Selection via Reinforcement Learning
• Dual Adversarial Inference for Text-to-Image Synthesis
• IMAGINE: Image Synthesis by Image-Guided Model Inversion
• Can GAN originate new electronic dance music genres? -- Generating novel rhythm patterns using GAN with Genre Ambiguity Loss
• Structured Prediction using cGANs with Fusion Discriminator
• Dense Pose Transfer
• Multi-modal Scene-compliant User Intention Estimation in Navigation
• Cross-Vendor CT Image Data Harmonization Using CVH-CT
• CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation
• A Novel BiLevel Paradigm for Image-to-Image Translation
• Remember What You have drawn: Semantic Image Manipulation with Memory
• PMC-GANs: Generating Multi-Scale High-Quality Pedestrian with Multimodal Cascaded GANs
• Multi-Modality Generative Adversarial Networks with Tumor Consistency Loss for Brain MR Image Synthesis
• xAI-GAN: Enhancing Generative Adversarial Networks via Explainable AI Systems
• A Unified Analysis of Variational Inequality Methods: Variance Reduction, Sampling, Quantization and Coordinate Descent
• Pseudo Supervised Monocular Depth Estimation with Teacher-Student Network
• Towards Better Long-range Time Series Forecasting using Generative Adversarial Networks
• Improving Parametric Neural Networks for High-Energy Physics (and Beyond)
• Deep Multi-Facial Patches Aggregation Network For Facial Expression Recognition
• Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder
• ACGAN-based Data Augmentation Integrated with Long-term Scalogram for Acoustic Scene Classification
• Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design
• Smart, Sparse Contours to Represent and Edit Images
• FontGAN: A Unified Generative Framework for Chinese Character Stylization and De-stylization
• AMIL: Adversarial Multi Instance Learning for Human Pose Estimation
• Stable Parallel Training of Wasserstein Conditional Generative Adversarial Neural Networks
• MatchGAN: A Self-Supervised Semi-Supervised Conditional Generative Adversarial Network
• Hi-Net: Hybrid-fusion Network for Multi-modal MR Image Synthesis
• Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples
• A Survey of Deep Facial Attribute Analysis
• Image-based reconstruction for the impact problems by using DPNNs
• Lung CT Imaging Sign Classification through Deep Learning on Small Data
• SeismoGen: Seismic Waveform Synthesis Using Generative Adversarial Networks
• ActFloor-GAN: Activity-Guided Adversarial Networks for Human-Centric Floorplan Design
• Adversarial Graph Disentanglement
• Personalization of Saliency Estimation
• Generating artificial digital image correlation data using physics-guided adversarial networks
• Photon detection probability prediction using one-dimensional generative neural network
• FBC-GAN: Diverse and Flexible Image Synthesis via Foreground-Background Composition
• A Method to Model Conditional Distributions with Normalizing Flows
• Learning to Transfer: Unsupervised Meta Domain Translation
• Unpaired Photo-to-Caricature Translation on Faces in the Wild
• Leveraging Long and Short-term Information in Content-aware Movie Recommendation
• GAN Cocktail: mixing GANs without dataset access
• Deep Structured Generative Models
• Unsupervised Neural Sensor Models for Synthetic LiDAR Data Augmentation
• Learning to Plan Optimally with Flow-based Motion Planner
• Reconstruction of 3D Porous Media From 2D Slices
• PulseGAN: Learning to generate realistic pulse waveforms in remote photoplethysmography
• Progressive and Aligned Pose Attention Transfer for Person Image Generation
• Improving Consistency and Correctness of Sequence Inpainting using Semantically Guided Generative Adversarial Network
• Asymmetric GANs for Image-to-Image Translation
• Enhancement of seismic imaging: An innovative deep learning approach
• Cooperative Training of Fast Thinking Initializer and Slow Thinking Solver for Conditional Learning
• Continuous Conditional Generative Adversarial Networks (cGAN) with Generator Regularization
• Exploiting Local Feature Patterns for Unsupervised Domain Adaptation
• Coconditional Autoencoding Adversarial Networks for Chinese Font Feature Learning
• B-DCGAN:Evaluation of Binarized DCGAN for FPGA
• DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation
• Facial Expression Recognition Using Human to Animated-Character Expression Translation
• Bridging Global Context Interactions for High-Fidelity Image Completion
• Customizing an Adversarial Example Generator with Class-Conditional GANs
• Generate the corresponding Image from Text Description using Modified GAN-CLS Algorithm
• Unsupervised multi-modal Styled Content Generation
• Variational Capsules for Image Analysis and Synthesis
• Deep Generation of Face Images from Sketches
• ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks
• Deep Adversarial Belief Networks
• Garment Design with Generative Adversarial Networks
• Explicit Abnormality Extraction for Unsupervised Motion Artifact Reduction in Magnetic Resonance Imaging
• DeltaGAN: Towards Diverse Few-shot Image Generation with Sample-Specific Delta
• Physics-Guided Generative Adversarial Networks for Sea Subsurface Temperature Prediction
• Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models
• Variational Conditional GAN for Fine-grained Controllable Image Generation
• Leveraging Virtual and Real Person for Unsupervised Person Re-identification
• The Art of Food: Meal Image Synthesis from Ingredients
• Cycle-consistent Conditional Adversarial Transfer Networks
• MathDL: Mathematical deep learning for D3R Grand Challenge 4
• Towards Recovery of Conditional Vectors from Conditional Generative Adversarial Networks
• MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generation
• Learning Prototype-oriented Set Representations for Meta-Learning
• Triggering Dark Showers with Conditional Dual Auto-Encoders
• Deep Learning based Channel Estimation Algorithm over Time Selective Fading Channels
• Dual Attention GANs for Semantic Image Synthesis
• SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis
• Snore-GANs: Improving Automatic Snore Sound Classification with Synthesized Data
• TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search
• SeGAN: Segmenting and Generating the Invisible
• C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis
• WDNet: Watermark-Decomposition Network for Visible Watermark Removal
• Learning Semantic Person Image Generation by Region-Adaptive Normalization
• A multi-stage GAN for multi-organ chest X-ray image generation and segmentation
• GuidedStyle: Attribute Knowledge Guided Style Manipulation for Semantic Face Editing
• Disentangling representations of retinal images with generative models
• Multi-View Frame Reconstruction with Conditional GAN
• Robust Federated Learning with Attack-Adaptive Aggregation
• Generation High resolution 3D model from natural language by Generative Adversarial Network
• I Want This Product but Different : Multimodal Retrieval with Synthetic Query Expansion
• Generative Adversarial Classifier for Handwriting Characters Super-Resolution
• Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
• HumanGAN: A Generative Model of Humans Images
• SCH-GAN: Semi-supervised Cross-modal Hashing by Generative Adversarial Network
• DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network
• retina-VAE: Variationally Decoding the Spectrum of Macular Disease
• MFIF-GAN: A New Generative Adversarial Network for Multi-Focus Image Fusion
• PowerGAN: Synthesizing Appliance Power Signatures Using Generative Adversarial Networks
• Deep Relighting Networks for Image Light Source Manipulation
• Multi-Level Sequence GAN for Group Activity Recognition
• GRD-Net: Generative-Reconstructive-Discriminative Anomaly Detection with Region of Interest Attention Module
• Attention-Guided NIR Image Colorization via Adaptive Fusion of Semantic and Texture Clues
• Example-Guided Image Synthesis across Arbitrary Scenes using Masked Spatial-Channel Attention and Self-Supervision
• Taking Control of Intra-class Variation in Conditional GANs Under Weak Supervision
• Continuous 3D Multi-Channel Sign Language Production via Progressive Transformers and Mixture Density Networks
• Semi-supervised Learning with Missing Values Imputation
• XRayGAN: Consistency-preserving Generation of X-ray Images from Radiology Reports
• Continual Learning Using Multi-view Task Conditional Neural Networks
• Towards Photo-Realistic Visible Watermark Removal with Conditional Generative Adversarial Networks
• Trick or TReAT: Thematic Reinforcement for Artistic Typography
• Semantically Multi-modal Image Synthesis
• Data Augmentation for Enhancing EEG-based Emotion Recognition with Deep Generative Models
• An Adversarial Transfer Network for Knowledge Representation Learning
• SPG-VTON: Semantic Prediction Guidance for Multi-pose Virtual Try-on
• Occluded object reconstruction for first responders with augmented reality glasses using conditional generative adversarial networks
• Predicting Opioid Relapse Using Social Media Data
• Leveraging Systematic Knowledge of 2D Transformations
• Selective Synthetic Augmentation with Quality Assurance
• Automating Crystal-Structure Phase Mapping: Combining Deep Learning with Constraint Reasoning
• Unpaired Multi-Domain Image Generation via Regularized Conditional GANs
• Murine AI excels at cats and cheese: Structural differences between human and mouse neurons and their implementation in generative AIs
• Feature Affinity based Pseudo Labeling for Semi-supervised Person Re-identification
• Anime Style Space Exploration Using Metric Learning and Generative Adversarial Networks
• Deep Motion Blur Removal Using Noisy/Blurry Image Pairs
• Deep Video Portraits
• Improved ArtGAN for Conditional Synthesis of Natural Image and Artwork
• A two-step machine learning approach for crop disease detection: an application of GAN and UAV technology
• Adversarial Regression. Generative Adversarial Networks for Non-Linear Regression: Theory and Assessment
• Model-Free Renewable Scenario Generation Using Generative Adversarial Networks
• Class-Distinct and Class-Mutual Image Generation with GANs
• Mask Embedding in conditional GAN for Guided Synthesis of High Resolution Images
• Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation
• Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild
• Accurate Lung Nodules Segmentation with Detailed Representation Transfer and Soft Mask Supervision
• Global and Local Consistent Wavelet-domain Age Synthesis
• Automatic Detection of Vague Words and Sentences in Privacy Policies
• Multilevel Context Representation for Improving Object Recognition
• Future Urban Scenes Generation Through Vehicles Synthesis
• Towards Audio to Scene Image Synthesis using Generative Adversarial Network
• Adversarial Pixel-Level Generation of Semantic Images
• Estimation with Uncertainty via Conditional Generative Adversarial Networks
• Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric Alignment and Category-Center Regularization
• Enhance Images as You Like with Unpaired Learning
• Active Generative Adversarial Network for Image Classification
• Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier's Decision
• Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes
• Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction
• How Old Are You? Face Age Translation with Identity Preservation Using GANs
• Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models
• GAN-MDF: A Method for Multi-fidelity Data Fusion in Digital Twins
• BasketballGAN: Generating Basketball Play Simulation Through Sketching
• SwapText: Image Based Texts Transfer in Scenes
• Bayesian Reasoning with Trained Neural Networks
• Generating and Exploiting Probabilistic Monocular Depth Estimates
• Generative Adversarial Estimation of Channel Covariance in Vehicular Millimeter Wave Systems
• Example-Guided Scene Image Synthesis using Masked Spatial-Channel Attention and Patch-Based Self-Supervision
• Context-free Self-Conditioned GAN for Trajectory Forecasting
• CDVAE: Co-embedding Deep Variational Auto Encoder for Conditional Variational Generation
• Using Latent Codes for Class Imbalance Problem in Unsupervised Domain Adaptation
• Domain Adaptation Meets Disentangled Representation Learning and Style Transfer
• GAN Memory with No Forgetting
• Learning Disentangled Representations of Satellite Image Time Series
• Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP Events
• Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders
• Password-conditioned Anonymization and Deanonymization with Face Identity Transformers
• Generating Person Images with Appearance-aware Pose Stylizer
• Federated Generative Adversarial Learning
• If You Like It, GAN It. Probabilistic Multivariate Times Series Forecast With GAN
• GAC-GAN: A General Method for Appearance-Controllable Human Video Motion Transfer
• Generative Adversarial Neural Cellular Automata
• Improving Bi-directional Generation between Different Modalities with Variational Autoencoders
• Generative Image Modeling using Style and Structure Adversarial Networks
• Retinal Vessel Segmentation Based on Conditional Deep Convolutional Generative Adversarial Networks
• Recovering Geometric Information with Learned Texture Perturbations
• MPG: A Multi-ingredient Pizza Image Generator with Conditional StyleGANs
• To learn image super-resolution, use a GAN to learn how to do image degradation first
• A Mathematical Framework for Learning Probability Distributions
• Co-supervised learning paradigm with conditional generative adversarial networks for sample-efficient classification
• Dual-reference Age Synthesis
• Training Generative Adversarial Networks in One Stage
• On generating parametrised structural data using conditional generative adversarial networks
• Face Aging with Contextual Generative Adversarial Nets
• STAN-CT: Standardizing CT Image using Generative Adversarial Network
• Improving the Reconstruction of Disentangled Representation Learners via Multi-Stage Modeling
• Boosted GAN with Semantically Interpretable Information for Image Inpainting
• Generating Continuous Representations of Medical Texts
• Attribute-guided image generation from layout
• Classify and Generate: Using Classification Latent Space Representations for Image Generations
• Depth Structure Preserving Scene Image Generation
• Pipeline Generative Adversarial Networks for Facial Images Generation with Multiple Attributes
• Removing Class Imbalance using Polarity-GAN: An Uncertainty Sampling Approach
• Hyperbolic Generative Adversarial Network
• Joint Learning of Generative Translator and Classifier for Visually Similar Classes
• Emotion Generation and Recognition: A StarGAN Approach
• IntersectGAN: Learning Domain Intersection for Generating Images with Multiple Attributes
• Distribution Aligned Multimodal and Multi-Domain Image Stylization
• Generative Adversarial Networks are Special Cases of Artificial Curiosity (1990) and also Closely Related to Predictability Minimization (1991)
• Segmentation Guided Image-to-Image Translation with Adversarial Networks
• Learning to Segment Brain Anatomy from 2D Ultrasound with Less Data
• Boosting Image Outpainting with Semantic Layout Prediction
• Content-Aware Preserving Image Generation
• Improving the Performance of Fine-Grain Image Classifiers via Generative Data Augmentation
• Sage: Using Unsupervised Learning for Scalable Performance Debugging in Microservices
• Towards Amortized Ranking-Critical Training for Collaborative Filtering
• Synthetic Epileptic Brain Activities Using Generative Adversarial Networks
• Cross-Domain Adversarial Auto-Encoder
• Recurrent Feature Reasoning for Image Inpainting
• Versatile Auxiliary Classifier with Generative Adversarial Network (VAC+GAN)
• Extreme Image Coding via Multiscale Autoencoders With Generative Adversarial Optimization
• End-to-End Time-Lapse Video Synthesis from a Single Outdoor Image
• Conditional Neural Generation using Sub-Aspect Functions for Extractive News Summarization
• Noise Modeling, Synthesis and Classification for Generic Object Anti-Spoofing
• Predicting the Future: A Jointly Learnt Model for Action Anticipation
• Semi-supervised Learning using Adversarial Training with Good and Bad Samples
• Face Aging via Diffusion-based Editing
• GAN-Based Facial Attractiveness Enhancement
• Better Guider Predicts Future Better: Difference Guided Generative Adversarial Networks
• Learning Personalized Representation for Inverse Problems in Medical Imaging Using Deep Neural Network
• Accurate and Robust Deep Learning Framework for Solving Wave-Based Inverse Problems in the Super-Resolution Regime
• M3D-GAN: Multi-Modal Multi-Domain Translation with Universal Attention
• Model-agnostic and Scalable Counterfactual Explanations via Reinforcement Learning
• Stochastic Conditional Generative Networks with Basis Decomposition
• Lip Movements Generation at a Glance
• Point Cloud Completion by Learning Shape Priors
• Generating Image Sequence from Description with LSTM Conditional GAN
• Multimodal Image-to-Image Translation via Mutual Information Estimation and Maximization
• Conditional Generative Adversarial Networks for Emoji Synthesis with Word Embedding Manipulation
• Ancient Painting to Natural Image: A New Solution for Painting Processing
• Learning End-to-End Lossy Image Compression: A Benchmark
• StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding
• UU-Nets Connecting Discriminator and Generator for Image to Image Translation
• Unselfie: Translating Selfies to Neutral-pose Portraits in the Wild
• On the Use of Audio Fingerprinting Features for Speech Enhancement with Generative Adversarial Network
• Generation of Virtual Dual Energy Images from Standard Single-Shot Radiographs using Multi-scale and Conditional Adversarial Network
• Stable Rank Normalization for Improved Generalization in Neural Networks and GANs
• Fashion Editing with Adversarial Parsing Learning
• Domain Impression: A Source Data Free Domain Adaptation Method
• ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods
• Modality-Agnostic Style Transfer for Holistic Feature Imputation
• Interpreting the Latent Space of GANs via Correlation Analysis for Controllable Concept Manipulation
• Learn distributed GAN with Temporary Discriminators
• The Many Moods of Emotion
• Learning View Priors for Single-view 3D Reconstruction
• ExpertNet: Adversarial Learning and Recovery Against Noisy Labels
• Generative-Discriminative Complementary Learning
• Multi-Agent Tensor Fusion for Contextual Trajectory Prediction
• Show, Attend and Translate: Unpaired Multi-Domain Image-to-Image Translation with Visual Attention
• General Probabilistic Surface Optimization and Log Density Estimation
• Mix and match networks: cross-modal alignment for zero-pair image-to-image translation
• Adversarial attacks to image classification systems using evolutionary algorithms
• Disentangled Face Identity Representations for joint 3D Face Recognition and Expression Neutralisation
• Semantic Image Manipulation Using Scene Graphs
• Generative Design of Hardware-aware DNNs
• Residual Channel Attention Generative Adversarial Network for Image Super-Resolution and Noise Reduction
• Set Distribution Networks: a Generative Model for Sets of Images
• EnsembleGAN: Adversarial Learning for Retrieval-Generation Ensemble Model on Short-Text Conversation
• Kernel-Guided Training of Implicit Generative Models with Stability Guarantees
• DISCO Nets: DISsimilarity COefficient Networks
• Adversarial Learning of Semantic Relevance in Text to Image Synthesis
• Disentanglement Then Reconstruction: Learning Compact Features for Unsupervised Domain Adaptation
• Deep learning framework DNN with conditional WGAN for protein solubility prediction
• Time-Aware and View-Aware Video Rendering for Unsupervised Representation Learning
• Parameterization of Forced Isotropic Turbulent Flow using Autoencoders and Generative Adversarial Networks
• Learning and Using Abstractions for Robot Planning
• Continuous Facial Motion Deblurring
• Rethinking conditional GAN training: An approach using geometrically structured latent manifolds
• Learning to Fuse Music Genres with Generative Adversarial Dual Learning
• Conditional Level Generation and Game Blending
• Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey
• View Invariant 3D Human Pose Estimation
• AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data
• Integrating Categorical Semantics into Unsupervised Domain Translation
• Variational Dynamic Mixtures
• Conditional generator and multi-sourcecorrelation guided brain tumor segmentation with missing MR modalities
• Disentangled Face Attribute Editing via Instance-Aware Latent Space Search
• Semi-supervised Semantic Segmentation of Prostate and Organs-at-Risk on 3D Pelvic CT Images
• An Artificial Intelligence-Driven Agent for Real-Time Head-and-Neck IMRT Plan Generation using Conditional Generative Adversarial Network (cGAN)
• When Image Decomposition Meets Deep Learning: A Novel Infrared and Visible Image Fusion Method
• Zero-shot Synthesis with Group-Supervised Learning
• SAFRON: Stitching Across the Frontier for Generating Colorectal Cancer Histology Images
• Accelerated WGAN update strategy with loss change rate balancing
• URNet : User-Resizable Residual Networks with Conditional Gating Module
• Optimal Transport using GANs for Lineage Tracing
• Typeface Completion with Generative Adversarial Networks
• Deep Learning for HDR Imaging: State-of-the-Art and Future Trends
• Scenario Forecasting of Residential Load Profiles
• A Deep learning Approach to Generate Contrast-Enhanced Computerised Tomography Angiography without the Use of Intravenous Contrast Agents
• Predicting Poverty Level from Satellite Imagery using Deep Neural Networks
• Intelligent Home 3D: Automatic 3D-House Design from Linguistic Descriptions Only
• Real-time Burst Photo Selection Using a Light-Head Adversarial Network
• MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks
• Diverse Image Generation via Self-Conditioned GANs
• SHADOWCAST: Controllable Graph Generation
• Towards A Multi-agent System for Online Hate Speech Detection
• Independent Encoder for Deep Hierarchical Unsupervised Image-to-Image Translation
• Robust conditional GANs under missing or uncertain labels
• Spectrum Translation for Cross-Spectral Ocular Matching
• I-vector Transformation Using Conditional Generative Adversarial Networks for Short Utterance Speaker Verification
• Differential-Critic GAN: Generating What You Want by a Cue of Preferences
• InfoScrub: Towards Attribute Privacy by Targeted Obfuscation
• Applying Generative Adversarial Networks to Intelligent Subsurface Imaging and Identification
• Bi-Semantic Reconstructing Generative Network for Zero-shot Learning
• Stable Distribution Alignment Using the Dual of the Adversarial Distance
• Perceptually Validated Precise Local Editing for Facial Action Units with StyleGAN
• Learning Controllable Disentangled Representations with Decorrelation Regularization
• MangaGAN: Unpaired Photo-to-Manga Translation Based on The Methodology of Manga Drawing
• Continuous Face Aging via Self-estimated Residual Age Embedding
• Lesion Conditional Image Generation for Improved Segmentation of Intracranial Hemorrhage from CT Images
• EVGen: Adversarial Networks for Learning Electric Vehicle Charging Loads and Hidden Representations
• GQE-PRF: Generative Query Expansion with Pseudo-Relevance Feedback
• Inverse Aerodynamic Design of Gas Turbine Blades using Probabilistic Machine Learning
• Capsule GAN Using Capsule Network for Generator Architecture
• Quantitative Projection Coverage for Testing ML-enabled Autonomous Systems
• Reconstructing the Noise Manifold for Image Denoising
• Awesome Typography: Statistics-Based Text Effects Transfer
• Cross Domain Image Generation through Latent Space Exploration with Adversarial Loss
• A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems
• InstantGroup: Instant Template Generation for Scalable Group of Brain MRI Registration
• Imaginative Walks: Generative Random Walk Deviation Loss for Improved Unseen Learning Representation
• HDR-cGAN: Single LDR to HDR Image Translation using Conditional GAN
• Adversarial reconstruction for Multi-modal Machine Translation
• How good is my GAN?
• Emulating malware authors for proactive protection using GANs over a distributed image visualization of dynamic file behavior
• Ward2ICU: A Vital Signs Dataset of Inpatients from the General Ward
• Paired 3D Model Generation with Conditional Generative Adversarial Networks
• RoMA: Robust Model Adaptation for Offline Model-based Optimization
• Learning to Generate All Feasible Actions
• Double cycle-consistent generative adversarial network for unsupervised conditional generation
• Sample weighting as an explanation for mode collapse in generative adversarial networks
• DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style Editing
• MemeFaceGenerator: Adversarial Synthesis of Chinese Meme-face from Natural Sentences
• A cost-effective method for improving and re-purposing large, pre-trained GANs by fine-tuning their class-embeddings
• RIDNet Assisted cGAN Based Channel Estimation for One-Bit ADC mmWave MIMO Systems
• Smoother Network Tuning and Interpolation for Continuous-level Image Processing
• Improving Augmentation and Evaluation Schemes for Semantic Image Synthesis
• PC-GAIN: Pseudo-label Conditional Generative Adversarial Imputation Networks for Incomplete Data
• TinyGAN: Distilling BigGAN for Conditional Image Generation
• Omni-GAN: On the Secrets of cGANs and Beyond
• Towards Learning a Self-inverse Network for Bidirectional Image-to-image Translation
• An Auxiliary Classifier Generative Adversarial Framework for Relation Extraction
• Assessing Deep Neural Networks as Probability Estimators
• Conditional Coupled Generative Adversarial Networks for Zero-Shot Domain Adaptation
• MU-GAN: Facial Attribute Editing based on Multi-attention Mechanism
• Adversarial Latent Autoencoder with Self-Attention for Structural Image Synthesis
• Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry
• Adversarial Attack Type I: Cheat Classifiers by Significant Changes
• Generating Unobserved Alternatives
• Semantic Segmentation of Medium-Resolution Satellite Imagery using Conditional Generative Adversarial Networks
• Painting on Placement: Forecasting Routing Congestion using Conditional Generative Adversarial Nets
• Latent Space Optimal Transport for Generative Models
• Efficient Heuristic Generation for Robot Path Planning with Recurrent Generative Model
• GMM-Based Generative Adversarial Encoder Learning
• An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation
• Adaptive Input-image Normalization for Solving the Mode Collapse Problem in GAN-based X-ray Images
• DO-GAN: A Double Oracle Framework for Generative Adversarial Networks
• Person image generation with semantic attention network for person re-identification
• Evaluating for Diversity in Question Generation over Text
• EGAIN: Extended GAn INversion
• AdvNF: Reducing Mode Collapse in Conditional Normalising Flows using Adversarial Learning
• Approximate Query Processing for Group-By Queries based on Conditional Generative Models
• Geometrically Enriched Latent Spaces
• Student's t-Generative Adversarial Networks
• Enhancing Stability in Training Conditional Generative Adversarial Networks via Selective Data Matching
• Learning Augmentation Distributions using Transformed Risk Minimization
• Adversarial sampling of unknown and high-dimensional conditional distributions
• Adversarial Deep Learning for Online Resource Allocation
• IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse
• Weakly-supervised Generative Adversarial Networks for medical image classification
• De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks
• Electrocardio Panorama: Synthesizing New ECG Views with Self-supervision
• Generation of non-stationary stochastic fields using Generative Adversarial Networks
• Ultrafast CMOS image sensors and data-enabled super-resolution for multimodal radiographic imaging and tomography
• Constrained Adversarial Learning for Automated Software Testing: a literature review
• Conditional Frechet Inception Distance
• Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation
• DACov: A Deeper Analysis of Data Augmentation on the Computed Tomography Segmentation Problem
• That Label's Got Style: Handling Label Style Bias for Uncertain Image Segmentation
• S2cGAN: Semi-Supervised Training of Conditional GANs with Fewer Labels
• Multi-Modal Super Resolution for Dense Microscopic Particle Size Estimation
• Conditioning Trick for Training Stable GANs
• Conditional Generative Modeling via Learning the Latent Space
• Discriminative Cross-Modal Data Augmentation for Medical Imaging Applications
• Towards Synthetic Multivariate Time Series Generation for Flare Forecasting
• A Generalised Inverse Reinforcement Learning Framework
• TreeGAN: Incorporating Class Hierarchy into Image Generation
• Multiple Exemplars-based Hallucinationfor Face Super-resolution and Editing
• HRVGAN: High Resolution Video Generation using Spatio-Temporal GAN
• D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
• Generalized Few-Shot Video Classification with Video Retrieval and Feature Generation
• Multiple Organ Failure Prediction with Classifier-Guided Generative Adversarial Imputation Networks
• Projected Latent Markov Chain Monte Carlo: Conditional Sampling of Normalizing Flows
• Joint Learning of Portrait Intrinsic Decomposition and Relighting
• Fine-Tuning StyleGAN2 For Cartoon Face Generation
• EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision
• Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models
• Deep Image Synthesis from Intuitive User Input: A Review and Perspectives
• Towards a Neural Graphics Pipeline for Controllable Image Generation
• Atlas-Based Segmentation of Intracochlear Anatomy in Metal Artifact Affected CT Images of the Ear with Co-trained Deep Neural Networks
• Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery
• RankSRGAN: Super Resolution Generative Adversarial Networks with Learning to Rank
• ICE-GAN: Identity-aware and Capsule-Enhanced GAN with Graph-based Reasoning for Micro-Expression Recognition and Synthesis
• Geodesics in fibered latent spaces: A geometric approach to learning correspondences between conditions
• WAS-VTON: Warping Architecture Search for Virtual Try-on Network
• Image Augmentation Using a Task Guided Generative Adversarial Network for Age Estimation on Brain MRI
• Deep Learning-based Biological Anatomical Landmark Detection in Colonoscopy Videos
• Regularized Sequential Latent Variable Models with Adversarial Neural Networks
• Learning Compact Reward for Image Captioning
• Image Synthesis via Semantic Composition
• A 3D Mesh-based Lifting-and-Projection Network for Human Pose Transfer
• Conditional Adversarial Camera Model Anonymization
• Cross-Modal Virtual Sensing for Combustion Instability Monitoring
• Informative Sample Mining Network for Multi-Domain Image-to-Image Translation
• A Deep Generative Approach to Conditional Sampling
• MSO: Multi-Feature Space Joint Optimization Network for RGB-Infrared Person Re-Identification
• Detecting Invasive Ductal Carcinoma with Semi-Supervised Conditional GANs
• Unsupervised Many-to-Many Image-to-Image Translation Across Multiple Domains
• DLGAN: Disentangling Label-Specific Fine-Grained Features for Image Manipulation
• A Distributed Training Algorithm of Generative Adversarial Networks with Quantized Gradients
• Learning Deep Interleaved Networks with Asymmetric Co-Attention for Image Restoration
• Teaching a GAN What Not to Learn
• Disentangling the Spatial Structure and Style in Conditional VAE
• Coupled Generative Adversarial Network for Continuous Fine-grained Action Segmentation
• Deep Multi-Facial patches Aggregation Network for Expression Classification from Face Images
• TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning
• Enhance Gender and Identity Preservation in Face Aging Simulation for Infants and Toddlers
• Data-driven Accelerogram Synthesis using Deep Generative Models
• Complexity Controlled Generative Adversarial Networks
• Multi-task GANs for Semantic Segmentation and Depth Completion with Cycle Consistency
• A Framework and Dataset for Abstract Art Generation via CalligraphyGAN
• Attributes Aware Face Generation with Generative Adversarial Networks
• IVE-GAN: Invariant Encoding Generative Adversarial Networks
• Lung image segmentation by generative adversarial networks
• Formatting the Landscape: Spatial conditional GAN for varying population in satellite imagery
• Hard-Aware Fashion Attribute Classification
• HUGE2: a Highly Untangled Generative-model Engine for Edge-computing
• Self-Supervised Sketch-to-Image Synthesis
• Correspondence Learning for Controllable Person Image Generation
• A Cost Effective Solution for Road Crack Inspection using Cameras and Deep Neural Networks
• Road images augmentation with synthetic traffic signs using neural networks
• Measure-conditional Discriminator with Stationary Optimum for GANs and Statistical Distance Surrogates
• OntoZSL: Ontology-enhanced Zero-shot Learning
• Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models
• Self-Augmented Multi-Modal Feature Embedding
• Long-Term Human Video Generation of Multiple Futures Using Poses
• Memory-guided Unsupervised Image-to-image Translation
• A Two-stage Deep Network for High Dynamic Range Image Reconstruction
• YuruGAN: Yuru-Chara Mascot Generator Using Generative Adversarial Networks With Clustering Small Dataset
• Generative Adversarial Networks for Real-time Stability of Inverter-based Systems
• Data Augmentation of Room Classifiers using Generative Adversarial Networks
• S2IGAN: Speech-to-Image Generation via Adversarial Learning
• EnsNet: Ensconce Text in the Wild
• Impact of multiple modalities on emotion recognition: investigation into 3d facial landmarks, action units, and physiological data
• AnimGAN: A Spatiotemporally-Conditioned Generative Adversarial Network for Character Animation
• Visual Data Augmentation through Learning
• Guiding the One-to-one Mapping in CycleGAN via Optimal Transport
• Steganography GAN: Cracking Steganography with Cycle Generative Adversarial Networks
• Generalizing electrocardiogram delineation -- Training convolutional neural networks with synthetic data augmentation
• HypervolGAN: An efficient approach for GAN with multi-objective training function
• Partially Conditioned Generative Adversarial Networks
• Words as Art Materials: Generating Paintings with Sequential GANs
• Learning End-to-End Action Interaction by Paired-Embedding Data Augmentation
• Unsupervised Learning of Solutions to Differential Equations with Generative Adversarial Networks
• Novel View Synthesis on Unpaired Data by Conditional Deformable Variational Auto-Encoder
• Generative networks as inverse problems with fractional wavelet scattering networks
• Recurrent Deconvolutional Generative Adversarial Networks with Application to Text Guided Video Generation
• Structure-Aware Human-Action Generation
• Adversarial Learning for Image Forensics Deep Matching with Atrous Convolution
• Blur-Attention: A boosting mechanism for non-uniform blurred image restoration
• Improving Text to Image Generation using Mode-seeking Function
• Rhythm-Flexible Voice Conversion without Parallel Data Using Cycle-GAN over Phoneme Posteriorgram Sequences
• Action Anticipation By Predicting Future Dynamic Images
• Improvement of Multiparametric MR Image Segmentation by Augmenting the Data with Generative Adversarial Networks for Glioma Patients
• Towards Controllable and Personalized Review Generation
• Wasserstein GAN and Waveform Loss-based Acoustic Model Training for Multi-speaker Text-to-Speech Synthesis Systems Using a WaveNet Vocoder
• On the Anomalous Generalization of GANs
• Develop machine learning based predictive models for engineering protein solubility
• PortraitGAN for Flexible Portrait Manipulation
• A Generative Approach Towards Improved Robotic Detection of Marine Litter
• A Multimodal Classifier Generative Adversarial Network for Carry and Place Tasks from Ambiguous Language Instructions
• Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons
• Digital phase-only holography using deep conditional generative models
• GANE: A Generative Adversarial Network Embedding
• Generative Creativity: Adversarial Learning for Bionic Design
• DeepGoal: Learning to Drive with driving intention from Human Control Demonstration
• High-Freedom Inverse Design with Deep Neural Network for Metasurface Filter in the Visible
• PI-GAN: Learning Pose Independent representations for multiple profile face synthesis
• Translating multispectral imagery to nighttime imagery via conditional generative adversarial networks
• Learning to adapt class-specific features across domains for semantic segmentation
• DP-CGAN: Differentially Private Synthetic Data and Label Generation
• CookGAN: Meal Image Synthesis from Ingredients
• Performance Evaluation of Deep Generative Models for Generating Hand-Written Character Images
• Motion deblurring of faces
• Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks
• Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data
• Bitewing Radiography Semantic Segmentation Base on Conditional Generative Adversarial Nets
• Venn GAN: Discovering Commonalities and Particularities of Multiple Distributions
• Towards Real-Time Advancement of Underwater Visual Quality with GAN
• Improving learnability of neural networks: adding supplementary axes to disentangle data representation
• Domain Partitioning Network
• DepthwiseGANs: Fast Training Generative Adversarial Networks for Realistic Image Synthesis
• Restricting Greed in Training of Generative Adversarial Network
• f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
• Improved visible to IR image transformation using synthetic data augmentation with cycle-consistent adversarial networks
• One-Shot Image-to-Image Translation via Part-Global Learning with a Multi-adversarial Framework
• Kernel Mean Matching for Content Addressability of GANs
• Domain Adaptive Person Re-Identification via Camera Style Generation and Label Propagation
• G2R Bound: A Generalization Bound for Supervised Learning from GAN-Synthetic Data
• Reconstructing faces from voices
• PAC-GAN: An Effective Pose Augmentation Scheme for Unsupervised Cross-View Person Re-identification
• SeCGAN: Parallel Conditional Generative Adversarial Networks for Face Editing via Semantic Consistency
• Conditional Transfer with Dense Residual Attention: Synthesizing traffic signs from street-view imagery
• IGN : Implicit Generative Networks
• DiverseNet: When One Right Answer is not Enough
• WAYLA - Generating Images from Eye Movements
• Learning Synthetic to Real Transfer for Localization and Navigational Tasks
• Coarse-to-fine Optimization for Speech Enhancement
• Inverse Structural Design of Graphene/Boron Nitride Hybrids by Regressional GAN
• Systematic Analysis of Image Generation using GANs
• Personality-Driven Gaze Animation with Conditional Generative Adversarial Networks
• Adversarial Training for Code Retrieval with Question-Description Relevance Regularization
• STEP-GAN: A Step-by-Step Training for Multi Generator GANs with application to Cyber Security in Power Systems
• Exploring Font-independent Features for Scene Text Recognition
• Neural Scene Decoration from a Single Photograph
• Two-Stream Appearance Transfer Network for Person Image Generation
• Synthetic Convolutional Features for Improved Semantic Segmentation
• Conditional Image Generation with One-Vs-All Classifier
• Facial Keypoint Sequence Generation from Audio
• Recognition and Synthesis of Object Transport Motion
• HAD-GAN: A Human-perception Auxiliary Defense GAN to Defend Adversarial Examples
• Expression Conditional GAN for Facial Expression-to-Expression Translation
• MetalGAN: a Cluster-based Adaptive Training for Few-Shot Adversarial Colorization
• Deep Factorised Inverse-Sketching
• Fine-grained Action Segmentation using the Semi-Supervised Action GAN
• Inner Space Preserving Generative Pose Machine
• Understanding the Role of Adversarial Regularization in Supervised Learning
• ClsGAN: Selective Attribute Editing Model Based On Classification Adversarial Network
• Improving Model Compatibility of Generative Adversarial Networks by Boundary Calibration
• Machine Vision for Improved Human-Robot Cooperation in Adverse Underwater Conditions
• HumanGAN: generative adversarial network with human-based discriminator and its evaluation in speech perception modeling
• Variational framework for partially-measured physical system control: examples of vision neuroscience and optical random media
• EarthGAN: Can we visualize the Earth's mantle convection using a surrogate model?
• Generative Memorize-Then-Recall framework for low bit-rate Surveillance Video Compression
• DSRGAN: Explicitly Learning Disentangled Representation of Underlying Structure and Rendering for Image Generation without Tuple Supervision
• Intuitive Shape Editing in Latent Space
• ReshapeGAN: Object Reshaping by Providing A Single Reference Image
• Video-to-Video Translation for Visual Speech Synthesis
• SynFace: Face Recognition with Synthetic Data
• Multi-attribute Pizza Generator: Cross-domain Attribute Control with Conditional StyleGAN
• Neural Wireframe Renderer: Learning Wireframe to Image Translations
• Principled Representation Learning for Entity Alignment
• Unsupervised Image-to-Image Translation with Stacked Cycle-Consistent Adversarial Networks
• Trajectory Prediction using Generative Adversarial Network in Multi-Class Scenarios
• AE-StyleGAN: Improved Training of Style-Based Auto-Encoders
• Style-Restricted GAN: Multi-Modal Translation with Style Restriction Using Generative Adversarial Networks
• Generating Diverse Realistic Laughter for Interactive Art
• Cross-Modality Distillation: A case for Conditional Generative Adversarial Networks
• Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously
• Disentanglement based Active Learning
• Harnessing the Conditioning Sensorium for Improved Image Translation
• Deep Human-guided Conditional Variational Generative Modeling for Automated Urban Planning
• Exploring constraints on CycleGAN-based CBCT enhancement for adaptive radiotherapy
• Irregular Convolutional Auto-Encoder on Point Clouds
• Learning from Mistakes based on Class Weighting with Application to Neural Architecture Search
• Motion Generation Considering Situation with Conditional Generative Adversarial Networks for Throwing Robots
• Bridging the Gap between Label- and Reference-based Synthesis in Multi-attribute Image-to-Image Translation
• Dual Projection Generative Adversarial Networks for Conditional Image Generation
• Illegible Text to Readable Text: An Image-to-Image Transformation using Conditional Sliced Wasserstein Adversarial Networks
• Latent Transformations for Object View Points Synthesis
• Information Compensation for Deep Conditional Generative Networks
• High Diversity Attribute Guided Face Generation with GANs
• Solving Inverse Problems with Conditional-GAN Prior via Fast Network-Projected Gradient Descent
• 3D-MOV: Audio-Visual LSTM Autoencoder for 3D Reconstruction of Multiple Objects from Video
• Physical Context and Timing Aware Sequence Generating GANs
• Evaluation of Deep Neural Network Domain Adaptation Techniques for Image Recognition
• Unaligned Image-to-Image Translation by Learning to Reweight
• When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey
• Linear Discriminant Generative Adversarial Networks
• Comparative Study between Adversarial Networks and Classical Techniques for Speech Enhancement
• Establishing an Evaluation Metric to Quantify Climate Change Image Realism
• Mutltimodal AI Companion for Interactive Fairytale Co-creation
• Per Garment Capture and Synthesis for Real-time Virtual Try-on
• Can adversarial training learn image captioning ?
• Towards Fair Cross-Domain Adaptation via Generative Learning
• Improving Differentiable Architecture Search with a Generative Model
• Pixel-wise Conditioning of Generative Adversarial Networks
• Inverting Generative Adversarial Renderer for Face Reconstruction
• Inducing Optimal Attribute Representations for Conditional GANs
• Hindsight Reward Tweaking via Conditional Deep Reinforcement Learning
• Distributed Generative Adversarial Net
• FA-GAN: Feature-Aware GAN for Text to Image Synthesis
• Instance-Conditioned GAN
• Pose Augmentation: Class-agnostic Object Pose Transformation for Object Recognition
• Representation Learning: A Statistical Perspective
• AIP: Adversarial Iterative Pruning Based on Knowledge Transfer for Convolutional Neural Networks
• Label Geometry Aware Discriminator for Conditional Generative Networks
• Multi-Attributed and Structured Text-to-Face Synthesis
• CT-Net: Complementary Transfering Network for Garment Transfer with Arbitrary Geometric Changes
• Segmentation of Lungs COVID Infected Regions by Attention Mechanism and Synthetic Data
• Deep-learning-based recognition of multi-singularity structured light
• Robust Ensembling Network for Unsupervised Domain Adaptation
• Hierarchical Modes Exploring in Generative Adversarial Networks
• Regularized Adaptation for Stable and Efficient Continuous-Level Learning on Image Processing Networks
• DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets
• Synthesizing human-like sketches from natural images using a conditional convolutional decoder
• Decision Propagation Networks for Image Classification
• Resisting Large Data Variations via Introspective Transformation Network
• Transferring Knowledge with Attention Distillation for Multi-Domain Image-to-Image Translation
• GRIm-RePR: Prioritising Generating Important Features for Pseudo-Rehearsal
• Directional GAN: A Novel Conditioning Strategy for Generative Networks
• CerfGAN: A Compact, Effective, Robust, and Fast Model for Unsupervised Multi-Domain Image-to-Image Translation
• Estimating localized complexity of white-matter wiring with GANs
• Improvement in Machine Translation with Generative Adversarial Networks
• Identifying and Exploiting Structures for Reliable Deep Learning
• Generative Model for Heterogeneous Inference
• cFineGAN: Unsupervised multi-conditional fine-grained image generation
• FusedProp: Towards Efficient Training of Generative Adversarial Networks
• Deep Semantic Hashing with Generative Adversarial Networks
• Zero-Round Active Learning
• Deep GAN-Based Cross-Spectral Cross-Resolution Iris Recognition
• Adversarial Energy Disaggregation for Non-intrusive Load Monitoring
• Profile to Frontal Face Recognition in the Wild Using Coupled Conditional GAN
• Anomaly-Aware Semantic Segmentation by Leveraging Synthetic-Unknown Data
• Gated SwitchGAN for multi-domain facial image translation
• Synthetic Periocular Iris PAI from a Small Set of Near-Infrared-Images
• Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective
• 3D Shape Generation with Grid-based Implicit Functions
• EMFlow: Data Imputation in Latent Space via EM and Deep Flow Models
• From abstract items to latent spaces to observed data and back: Compositional Variational Auto-Encoder
• A Survey on Adversarial Image Synthesis
• Prediction of geophysical properties of rocks on rare well data and attributes of seismic waves by machine learning methods on the example of the Achimov formation
• ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs
• Adversarial Code Learning for Image Generation
• Joint Deep Learning of Facial Expression Synthesis and Recognition
• Learning Aesthetic Layouts via Visual Guidance
• Self-supervised Outdoor Scene Relighting
• Towards Automatic Speech to Sign Language Generation
• Neural Embedding for Physical Manipulations
• Video Content Swapping Using GAN
• On Leveraging Unlabeled Data for Concurrent Positive-Unlabeled Classification and Robust Generation
• Coded-InvNet for Resilient Prediction Serving Systems
• Where is the disease? Semi-supervised pseudo-normality synthesis from an abnormal image
• Cascade context encoder for improved inpainting
• Compressed Sensing via Measurement-Conditional Generative Models
• On the Parameter Combinations That Matter and on Those That do Not
• Human in the Loop for Machine Creativity
• Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers
• Generative Adversarial Networks for Recovering Missing Spectral Information
• Reversible Colour Density Compression of Images using cGANs
• BSD-GAN: Branched Generative Adversarial Network for Scale-Disentangled Representation Learning and Image Synthesis
• Class Balancing GAN with a Classifier in the Loop
• Generating Data Augmentation samples for Semantic Segmentation of Salt Bodies in a Synthetic Seismic Image Dataset
• Cascading Modular Network (CAM-Net) for Multimodal Image Synthesis
• Offline Inverse Reinforcement Learning
• Labeled Data Generation with Inexact Supervision
• EnMcGAN: Adversarial Ensemble Learning for 3D Complete Renal Structures Segmentation
• Information Theoretic Structured Generative Modeling
• Sinusoidal wave generating network based on adversarial learning and its application: synthesizing frog sounds for data augmentation
• Counterfactual Maximum Likelihood Estimation for Training Deep Networks
• Bundle Networks: Fiber Bundles, Local Trivializations, and a Generative Approach to Exploring Many-to-one Maps
• Enhancing and Learning Denoiser without Clean Reference
• Selective Sampling and Mixture Models in Generative Adversarial Networks
• High Resolution Time-Frequency Generation with Generative Adversarial Networks
• TiVGAN: Text to Image to Video Generation with Step-by-Step Evolutionary Generator
• BPLF: A Bi-Parallel Linear Flow Model for Facial Expression Generation from Emotion Set Images
• Learning Realistic Patterns from Unrealistic Stimuli: Generalization and Data Anonymization
• Virtual Conditional Generative Adversarial Networks
• Generative Adversarial Networks for Black-Box API Attacks with Limited Training Data
• AgeFlow: Conditional Age Progression and Regression with Normalizing Flows
• Learning to Clean: A GAN Perspective
• Synthesizing Photorealistic Images with Deep Generative Learning
• Diversity Regularized Adversarial Learning
• Continuation of Famous Art with AI: A Conditional Adversarial Network Inpainting Approach
• Learning to Reconstruct and Segment 3D Objects
• Explorable Tone Mapping Operators
• Shape related constraints aware generation of Mechanical Designs through Deep Convolutional GAN
• Delta-GAN-Encoder: Encoding Semantic Changes for Explicit Image Editing, using Few Synthetic Samples
• Towards Conditional Generation of Minimal Action Potential Pathways for Molecular Dynamics
• Generative Adversarial Networks for Multimodal Representation Learning in Video Hyperlinking
• MUSE: Textual Attributes Guided Portrait Painting Generation
• A+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation
• Variational Bayesian Framework for Advanced Image Generation with Domain-Related Variables
• Generative Steganography with Kerckhoffs' Principle
• Learning to see across Domains and Modalities
• Adversarial Transfer Learning for Cross-domain Visual Recognition
• Label-Removed Generative Adversarial Networks Incorporating with K-Means
• LAViTeR: Learning Aligned Visual and Textual Representations Assisted by Image and Caption Generation
• Realistic Ultrasonic Environment Simulation Using Conditional Generative Adversarial Networks
• Domain Adaptation with Incomplete Target Domains
• Generating synthetic transactional profiles
• Representation learning with CGAN for casual inference
• Generating Adversarial Examples With Conditional Generative Adversarial Net
• Pipeline for 3D reconstruction of the human body from AR/VR headset mounted egocentric cameras
• Conditional Generative Adversarial Networks Based Inertial Signal Translation
• Exploring Adversarial Fake Images on Face Manifold
• Learning Generative Deception Strategies in Combinatorial Masking Games
• End-to-End Learning Using Cycle Consistency for Image-to-Caption Transformations
• Image Data Augmentation for the TAIGA-IACT Experiment with Conditional Generative Adversarial Networks
• Large-Angle Convergent-Beam Electron Diffraction Patterns via Conditional Generative Adversarial Networks
• Generative Adversarial Imagination for Sample Efficient Deep Reinforcement Learning
• A Diffusion-based Data Generator for Training Object Recognition Models in Ultra-Range Distance
• Conditional Neural Architecture Search
• From Real to Synthetic and Back: Synthesizing Training Data for Multi-Person Scene Understanding
• Is 'Unsupervised Learning' a Misconceived Term?
• Deep Learning for Wireless Communications
• Impressions2Font: Generating Fonts by Specifying Impressions
• A Robust Attentional Framework for License Plate Recognition in the Wild
• Domain Adaptation with Morphologic Segmentation
• Generation of Synthetic Electronic Medical Record Text
• Downhole Track Detection via Multiscale Conditional Generative Adversarial Nets
• Minority Class Oversampling for Tabular Data with Deep Generative Models
• APB2Face: Audio-guided face reenactment with auxiliary pose and blink signals
• Lifelong Learning Process: Self-Memory Supervising and Dynamically Growing Networks
• A Coarse-to-Fine Framework for Learned Color Enhancement with Non-Local Attention
• Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data
• Sym-parameterized Dynamic Inference for Mixed-Domain Image Translation
• Continuous learning of face attribute synthesis
• Compact Scene Graphs for Layout Composition and Patch Retrieval
• Super-resolving Dark Matter Halos using Generative Deep Learning
• Data augmentation using generative networks to identify dementia
• State-Relabeling Adversarial Active Learning
• Grounded Language Understanding for Manipulation Instructions Using GAN-Based Classification
• LI-Net: Large-Pose Identity-Preserving Face Reenactment Network
• Generative Model for Material Experiments Based on Prior Knowledge and Attention Mechanism
• Monte Carlo Simulation of SDEs using GANs
• About exchanging expectation and supremum for conditional Wasserstein GANs
• ReMix: Towards Image-to-Image Translation with Limited Data
• Tracking the Untrackable
• Learning relevant features for statistical inference
• Examining Performance of Sketch-to-Image Translation Models with Multiclass Automatically Generated Paired Training Data
• Instance Map based Image Synthesis with a Denoising Generative Adversarial Network
• Mean Field Game GAN
• Robustness Analysis of Face Obscuration
• Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers
• Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning
• Continual Density Ratio Estimation in an Online Setting
• DINO: A Conditional Energy-Based GAN for Domain Translation
• Modeling and Forecasting Art Movements with CGANs
• HumanACGAN: conditional generative adversarial network with human-based auxiliary classifier and its evaluation in phoneme perception
• cGANs for Cartoon to Real-life Images
• Enhanced Magnetic Resonance Image Synthesis with Contrast-Aware Generative Adversarial Networks
• Translate the Facial Regions You Like Using Region-Wise Normalization
• Generative Adversarial Nets for Multiple Text Corpora
• Towards Purely Unsupervised Disentanglement of Appearance and Shape for Person Images Generation
• Fine-grained Semantic Constraint in Image Synthesis
• GL-GAN: Adaptive Global and Local Bilevel Optimization model of Image Generation
• ArrowGAN : Learning to Generate Videos by Learning Arrow of Time
• Analysis of Macula on Color Fundus Images Using Heightmap Reconstruction Through Deep Learning
• Cyclone intensity estimate with context-aware cyclegan
• Stochastic Action Prediction for Imitation Learning
• Poisoning Online Learning Filters: DDoS Attacks and Countermeasures
• Exploiting Vulnerability of Pooling in Convolutional Neural Networks by Strict Layer-Output Manipulation for Adversarial Attacks
• ErGAN: Generative Adversarial Networks for Entity Resolution
• A Generative Approach for Detection-driven Underwater Image Enhancement
• Conditional Generative Adversarial Networks for Optimal Path Planning
• Localization in Aerial Imagery with Grid Maps using LocGAN
• Adversarial training for predictive tasks: theoretical analysis and limitations in the deterministic case