13 citations · 67 across the 17 of their papers we have counts for
17 papers
End-to-End Adaptive Monte Carlo Denoising and Super-Resolution
Xinyue Wei, Haozhi Huang, Yujin Shi +3
The classic Monte Carlo path tracing can achieve high quality rendering at the cost of heavy computation. Recent works make use of deep neural networks to accelerate this process,…
UniFaceGAN: A Unified Framework for Temporally Consistent Facial Video Editing
Meng Cao, Haozhi Huang, Hao Wang +6
Recent research has witnessed advances in facial image editing tasks including face swapping and face reenactment. However, these methods are confined to dealing with one specific…
Robust Pose Transfer with Dynamic Details using Neural Video Rendering
Yang-tian Sun, Hao-zhi Huang, Xuan Wang +3
Pose transfer of human videos aims to generate a high fidelity video of a target person imitating actions of a source person. A few studies have made great progress either through…
Two-Stage Monte Carlo Denoising with Adaptive Sampling and Kernel Pool
Tiange Xiang, Hongliang Yuan, Haozhi Huang +1
Monte Carlo path tracer renders noisy image sequences at low sampling counts. Although great progress has been made on denoising such sequences, existing methods still suffer from…
Adaptive Compact Attention For Few-shot Video-to-video Translation
Risheng Huang, Li Shen, Xuan Wang +2
This paper proposes an adaptive compact attention model for few-shot video-to-video translation. Existing works in this domain only use features from pixel-wise attention without c…
High-Fidelity 3D Digital Human Head Creation from RGB-D Selfies
Linchao Bao, Xiangkai Lin, Yajing Chen +9
We present a fully automatic system that can produce high-fidelity, photo-realistic 3D digital human heads with a consumer RGB-D selfie camera. The system only needs the user to ta…
Task-agnostic Temporally Consistent Facial Video Editing
Meng Cao, Haozhi Huang, Hao Wang +6
Recent research has witnessed the advances in facial image editing tasks. For video editing, however, previous methods either simply apply transformations frame by frame or utilize…
Real-time Universal Style Transfer on High-resolution Images via Zero-channel Pruning
Jie An, Tao Li, Haozhi Huang +6
Extracting effective deep features to represent content and style information is the key to universal style transfer. Most existing algorithms use VGG19 as the feature extractor, w…
CPOT: Channel Pruning via Optimal Transport
Yucong Shen, Li Shen, Hao-Zhi Huang +2
Recent advances in deep neural networks (DNNs) lead to tremendously growing network parameters, making the deployments of DNNs on platforms with limited resources extremely difficu…
Quantized Adam with Error Feedback
Congliang Chen, Li Shen, Haozhi Huang +1
In this paper, we present a distributed variant of adaptive stochastic gradient method for training deep neural networks in the parameter-server model. To reduce the communication…
Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning
Yingru Liu, Xuewen Yang, Dongliang Xie +4
Multi-task learning (MTL) is a common paradigm that seeks to improve the generalization performance of task learning by training related tasks simultaneously. However, it is still…
Multi-Frame Content Integration with a Spatio-Temporal Attention Mechanism for Person Video Motion Transfer
Kun Cheng, Hao-Zhi Huang, Chun Yuan +2
Existing person video generation methods either lack the flexibility in controlling both the appearance and motion, or fail to preserve detailed appearance and temporal consistency…
FaceShapeGene: A Disentangled Shape Representation for Flexible Face Image Editing
Sen-Zhe Xu, Hao-Zhi Huang, Shi-Min Hu +1
Existing methods for face image manipulation generally focus on editing the expression, changing some predefined attributes, or applying different filters. However, users lack the…
Temporally Coherent Video Harmonization Using Adversarial Networks
Haozhi Huang, Senzhe Xu, Junxiong Cai +2
Compositing is one of the most important editing operations for images and videos. The process of improving the realism of composite results is often called harmonization. Previous…
Unsupervised Image-to-Image Translation with Stacked Cycle-Consistent Adversarial Networks
Minjun Li, Haozhi Huang, Lin Ma +3
Recent studies on unsupervised image-to-image translation have made a remarkable progress by training a pair of generative adversarial networks with a cycle-consistent loss. Howeve…
Pose2Seg: Detection Free Human Instance Segmentation
Song-Hai Zhang, Ruilong Li, Xin Dong +6
The standard approach to image instance segmentation is to perform the object detection first, and then segment the object from the detection bounding-box. More recently, deep lear…
Neural Stereoscopic Image Style Transfer
Xinyu Gong, Haozhi Huang, Lin Ma +3
Neural style transfer is an emerging technique which is able to endow daily-life images with attractive artistic styles. Previous work has succeeded in applying convolutional neura…