Attention Based Dual Branches Fingertip Detection Network and Virtual Key System. - Chong Mou; Xin Zhang 013 (ACM Multimedia, 2020)

Image Denoising Based on Correlation Adaptive Sparse Modeling. - Hangfan Liu; Jian Zhang 018; Chong Mou (ICASSP, 2021)

Synergic Feature Attention for Image Restoration. - Chong Mou; Jian Zhang 018 (ICASSP, 2021)

Dynamic Attentive Graph Learning for Image Restoration. - Chong Mou; Jian Zhang 018; Zhuoyuan Wu (ICCV, 2021)

Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Imaging. - Zhuoyuan Wu; Jian Zhang 018; Chong Mou (ICCV, 2021)

Graph Attention Neural Network for Image Restoration. - Chong Mou; Jian Zhang 018 (ICME, 2021)

NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results. - Ren Yang; Radu Timofte; Jing Liu 031; Yi Xu 003; Xinjian Zhang; Minyi Zhao; Shuigeng Zhou; Kelvin C. K. Chan; Shangchen Zhou; Xiangyu Xu 002; Chen Change Loy; Xin Li 106; et al. (CoRR, 2021)

Deep Generalized Unfolding Networks for Image Restoration. - Chong Mou; Qian Wang; Jian Zhang 018 (CVPR, 2022)

Robust Invertible Image Steganography. - Youmin Xu; Chong Mou; Yujie Hu; Jingfen Xie; Jian Zhang 018 (CVPR, 2022)

Metric Learning Based Interactive Modulation for Real-World Super-Resolution. - Chong Mou; Yanze Wu; Xintao Wang 002; Chao Dong 005; Jian Zhang 018; Ying Shan (ECCV (17), 2022)

COLA-Net: Collaborative Attention Network for Image Restoration. - Chong Mou; Jian Zhang 018; Xiaopeng Fan; Hangfan Liu; Ronggang Wang (IEEE Trans. Multim., 2022)

NTIRE 2023 Challenge on 360° Omnidirectional Image and Video Super-Resolution: Datasets, Methods and Results. - Mingdeng Cao; Chong Mou; Fanghua Yu; Xintao Wang 002; Yinqiang Zheng; Jian Zhang 018; Chao Dong 005; Gen Li 011; Ying Shan; Radu Timofte; Xiaopeng Sun; Weiqi Li; et al. (CVPR Workshops, 2023)

Large-Capacity and Flexible Video Steganography via Invertible Neural Network. - Chong Mou; Youmin Xu; Jiechong Song; Chen Zhao 002; Bernard Ghanem; Jian Zhang 018 (CVPR, 2023)

Optimization-Inspired Cross-Attention Transformer for Compressive Sensing. - Jiechong Song; Chong Mou; Shiqi Wang 001; Siwei Ma; Jian Zhang 018 (CVPR, 2023)

T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models. - Chong Mou; Xintao Wang 002; Liangbin Xie; Jian Zhang 018; Zhongang Qi; Ying Shan; Xiaohu Qie (CoRR, 2023)

Neural Video Fields Editing. - Shuzhou Yang; Chong Mou; Jiwen Yu; Yuhan Wang; Xiandong Meng; Jian Zhang 018 (CoRR, 2023)

TransCL: Transformer Makes Strong and Flexible Compressive Learning. - Chong Mou; Jian Zhang 018 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

T2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion Models. - Chong Mou; Xintao Wang 002; Liangbin Xie; Yanze Wu; Jian Zhang 018; Zhongang Qi; Ying Shan (AAAI, 2024)

DiffEditor: Boosting Accuracy and Flexibility on Diffusion-Based Image Editing. - Chong Mou; Xintao Wang 002; Jiechong Song; Ying Shan; Jian Zhang 018 (CVPR, 2024)

360DVD: Controllable Panorama Video Generation with 360-Degree Video Diffusion Model. - Qian Wang; Weiqi Li; Chong Mou; Xinhua Cheng; Jian Zhang 018 (CVPR, 2024)

DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models. - Chong Mou; Xintao Wang 002; Jiechong Song; Ying Shan; Jian Zhang 018 (ICLR, 2024)

ReVideo: Remake a Video with Motion and Content Control. - Chong Mou; Mingdeng Cao; Xintao Wang 002; Zhaoyang Zhang 004; Ying Shan; Jian Zhang 018 (NeurIPS, 2024)

Diffusion-Based Hierarchical Image Steganography. - Youmin Xu; Xuanyu Zhang; Jiwen Yu; Chong Mou; Xiandong Meng; Jian Zhang 018 (CoRR, 2024)

OmniDrag: Enabling Motion Control for Omnidirectional Image-to-Video Generation. - Weiqi Li; Shijie Zhao 001; Chong Mou; Xuhan Sheng; Zhenyu Zhang 005; Qian Wang; Junlin Li; Li Zhang 006; Jian Zhang 018 (CoRR, 2024)

Consistent Human Image and Video Generation with Spatially Conditioned Diffusion. - Mingdeng Cao; Chong Mou; Ziyang Yuan; Xintao Wang 002; Zhaoyang Zhang 004; Ying Shan; Yinqiang Zheng (CoRR, 2024)

Empowering Real-World Image Super-Resolution With Flexible Interactive Modulation. - Chong Mou; Xintao Wang 002; Yanze Wu; Ying Shan; Jian Zhang 018 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

DreamO: A Unified Framework for Image Customization. - Chong Mou; Yanze Wu; Wenxu Wu; Zinan Guo; Pengze Zhang; Yufeng Cheng; Yiming Luo; Fei Ding; Shiwen Zhang; Xinghui Li; Mengtian Li; Songtao Zhao; et al. (CoRR, 2025)

MUSAR: Exploring Multi-Subject Customization from Single-Subject Dataset via Attention Routing. - Zinan Guo; Pengze Zhang; Yanze Wu; Chong Mou; Songtao Zhao; Qian He (CoRR, 2025)