Spatial-Temporal Synergic Prior Driven Unfolding Network for Snapshot Compressive Imaging. - Zhuoyuan Wu; Zhenyu Zhang; Jiechong Song; Man Zhang (ICME, 2021)

Memory-Augmented Deep Unfolding Network for Compressive Sensing. - Jiechong Song; Bin Chen 006; Jian Zhang 018 (ACM Multimedia, 2021)

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)

Deep Physics-Guided Unrolling Generalization for Compressed Sensing. - Bin Chen 006; Jiechong Song; Jingfen Xie; Jian Zhang 018 (Int. J. Comput. Vis., 2023)

SODAS-Net: Side-Information-Aided Deep Adaptive Shrinkage Network for Compressive Sensing. - Jiechong Song; Jian Zhang 018 (IEEE Trans. Instrum. Meas., 2023)

Dynamic Path-Controllable Deep Unfolding Network for Compressive Sensing. - Jiechong Song; Bin Chen 006; Jian Zhang 018 (IEEE Trans. Image Process., 2023)

Deep Memory-Augmented Proximal Unrolling Network for Compressive Sensing. - Jiechong Song; Bin Chen 006; Jian Zhang 018 (Int. J. Comput. Vis., 2023)

DiffEditor: Boosting Accuracy and Flexibility on Diffusion-Based Image Editing. - Chong Mou; Xintao Wang 002; Jiechong Song; Ying Shan; 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)