9 papers
MultiCompose: Multi-Concept Personalized Composition with Per-Subject Attribute Binding
Ruirui Zhang, Zhengkai Zhao, Pan Gao
Text-to-image diffusion models enable personalization of specific visual concepts from a small number of reference images. However, generating a single image that contains multiple…
Frequency-Aware Dual-Stream Learning for Balanced Realism and Fidelity in Electron Microscopy Imaging
Longmi Gao, Zhengkai Zhao, Pan Gao +1
Electron microscopy enables nanoscale cellular visualization but faces a trade-off between imaging resolution and acquisition speed. Existing learning-based methods rely on single-…
Simba: Towards High-Fidelity and Geometrically-Consistent Point Cloud Completion via Transformation Diffusion
Lirui Zhang, Zhengkai Zhao, Zhi Zuo +2
Point cloud completion is a fundamental task in 3D vision. A persistent challenge in this field is simultaneously preserving fine-grained details present in the input while ensurin…
DSMix: Distortion-Induced Sensitivity Map Based Pre-training for No-Reference Image Quality Assessment
Jinsong Shi, Pan Gao, Xiaojiang Peng +1
Image quality assessment (IQA) has long been a fundamental challenge in image understanding. In recent years, deep learning-based IQA methods have shown promising performance. Howe…
CDFormer:When Degradation Prediction Embraces Diffusion Model for Blind Image Super-Resolution
Qingguo Liu, Chenyi Zhuang, Pan Gao +1
Existing Blind image Super-Resolution (BSR) methods focus on estimating either kernel or degradation information, but have long overlooked the essential content details. In this pa…
Puff-Net: Efficient Style Transfer with Pure Content and Style Feature Fusion Network
Sizhe Zheng, Pan Gao, Peng Zhou +1
Style transfer aims to render an image with the artistic features of a style image, while maintaining the original structure. Various methods have been put forward for this task, b…
Fast Wrong-way Cycling Detection in CCTV Videos: Sparse Sampling is All You Need
Jing Xu, Wentao Shi, Sheng Ren +4
Effective monitoring of unusual transportation behaviors, such as wrong-way cycling (i.e., riding a bicycle or e-bike against designated traffic flow), is crucial for optimizing la…
Transformer-based No-Reference Image Quality Assessment via Supervised Contrastive Learning
Jinsong Shi, Pan Gao, Jie Qin
Image Quality Assessment (IQA) has long been a research hotspot in the field of image processing, especially No-Reference Image Quality Assessment (NR-IQA). Due to the powerful fea…
Degradation-Aware Self-Attention Based Transformer for Blind Image Super-Resolution
Qingguo Liu, Pan Gao, Kang Han +2
Compared to CNN-based methods, Transformer-based methods achieve impressive image restoration outcomes due to their abilities to model remote dependencies. However, how to apply Tr…