Memory-augmented deep unfolding network for compressive sensing J Song, B Chen, J Zhang Proceedings of the 29th ACM international conference on multimedia, 4249-4258, 2021 | 71 | 2021 |
Dragondiffusion: Enabling drag-style manipulation on diffusion models C Mou, X Wang, J Song, Y Shan, J Zhang arXiv preprint arXiv:2307.02421, 2023 | 61 | 2023 |
Dynamic path-controllable deep unfolding network for compressive sensing J Song, B Chen, J Zhang IEEE Transactions on Image Processing 32, 2202-2214, 2023 | 21 | 2023 |
Deep memory-augmented proximal unrolling network for compressive sensing J Song, B Chen, J Zhang International Journal of Computer Vision 131 (6), 1477-1496, 2023 | 19 | 2023 |
Spatial-temporal synergic prior driven unfolding network for snapshot compressive imaging Z Wu, Z Zhang, J Song, M Zhang 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 18 | 2021 |
Optimization-inspired cross-attention transformer for compressive sensing J Song, C Mou, S Wang, S Ma, J Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 17 | 2023 |
Large-capacity and flexible video steganography via invertible neural network C Mou, Y Xu, J Song, C Zhao, B Ghanem, J Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 14 | 2023 |
Diffeditor: Boosting accuracy and flexibility on diffusion-based image editing C Mou, X Wang, J Song, Y Shan, J Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 7 | 2024 |
Deep physics-guided unrolling generalization for compressed sensing B Chen, J Song, J Xie, J Zhang International Journal of Computer Vision 131 (11), 2864-2887, 2023 | 3 | 2023 |
SODAS-Net: side-information-aided deep adaptive shrinkage network for compressive sensing J Song, J Zhang IEEE Transactions on Instrumentation and Measurement, 2023 | 3 | 2023 |
MC-E/LF-VSN: Accepted by CVPR 2023 C Mou, Y Xu, J Song, C Zhao, B Ghanem, J Zhang Github, 2023 | | 2023 |
Supplementary-DiffEditor: Boosting Accuracy and Flexibility on Diffusion-based Image Editing C Mou, X Wang, J Song, Y Shan, J Zhang | | |