| SwinIR: Image Restoration Using Swin Transformer J Liang, J Cao, G Sun, K Zhang, L Van Gool, R Timofte arXiv preprint arXiv:2108.10257, code: https://github.com/JingyunLiang …, 2021 | 2922 | 2021 |
| Designing a Practical Degradation Model for Deep Blind Image Super-Resolution K Zhang, J Liang, L Van Gool, R Timofte ICCV2021, code: https://github.com/cszn/BSRGAN, 2021 | 570 | 2021 |
| VRT: A Video Restoration Transformer J Liang, J Cao, Y Fan, K Zhang, R Ranjan, Y Li, R Timofte, L Van Gool TIP2024, code: https://github.com/JingyunLiang/VRT, 2022 | 231 | 2022 |
| Video Super-Resolution Transformer J Cao, Y Li, K Zhang, J Liang, L Van Gool arXiv preprint arXiv:2106.06847, code: https://github.com/caojiezhang/VSR …, 2021 | 195 | 2021 |
| Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis K Zhang, Y Li, J Liang, J Cao, Y Zhang, H Tang, R Timofte, L Van Gool Machine Intelligence Research, code: https://github.com/cszn/SCUNet, 2023 | 152* | 2023 |
| Flow-based Kernel Prior with Application to Blind Super-Resolution J Liang, K Zhang, S Gu, L Van Gool, R Timofte CVPR2021, code: https://github.com/JingyunLiang/FKP, 2021 | 152 | 2021 |
| Event-Based Fusion for Motion Deblurring with Cross-modal Attention L Sun, C Sakaridis, J Liang, Q Jiang, K Yang, P Sun, Y Ye, K Wang, ... ECCV2022, code: https://github.com/AHupuJR/EFNet, 2022 | 130 | 2022 |
| Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution J Liang, G Sun, K Zhang, L Van Gool, R Timofte ICCV2021, code: https://github.com/JingyunLiang/MANet, 2021 | 129 | 2021 |
| Recurrent Video Restoration Transformer with Guided Deformable Attention J Liang, Y Fan, X Xiang, R Ranjan, E Ilg, S Green, J Cao, K Zhang, ... NeurlPS2022, code: https://github.com/JingyunLiang/RVRT, 2022 | 121 | 2022 |
| Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling J Liang, A Lugmayr, K Zhang, M Danelljan, L Van Gool, R Timofte ICCV2021, code: https://github.com/JingyunLiang/HCFlow, 2021 | 108 | 2021 |
| Denoising Diffusion Models for Plug-and-Play Image Restoration Y Zhu, K Zhang, J Liang, J Cao, B Wen, R Timofte, L Van Gool Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 93 | 2023 |
| Reference-based Image Super-Resolution with Deformable Attention Transformer J Cao, J Liang, K Zhang, Y Li, Y Zhang, W Wang, L Van Goo ECCV2022, code: https://github.com/caojiezhang/DATSR, 2022 | 62 | 2022 |
| Lsdir: A large scale dataset for image restoration Y Li, K Zhang, J Liang, J Cao, C Liu, R Gong, Y Zhang, H Tang, Y Liu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 48 | 2023 |
| Extended Local Binary Patterns for Efficient and Robust Spontaneous Facial Micro-Expression Recognition LL C Guo, J Liang, G Zhan, Z Liu, M Pietikäinen arXiv preprint arXiv:1907.09160, 2019 | 44* | 2019 |
| Event-Based Frame Interpolation with Ad-hoc Deblurring L Sun, C Sakaridis, J Liang, P Sun, J Cao, K Zhang, Q Jiang, K Wang, ... CVPR2023, codes: https://github.com/AHupuJR/REFID, 2023 | 37 | 2023 |
| Towards Interpretable Video Super-Resolution via Alternating Optimization J Cao, J Liang, K Zhang, W Wang, Q Wang, Y Zhang, H Tang, L Van Gool ECCV2022, code: https://github.com/caojiezhang/DAVSR, 2022 | 18 | 2022 |
| Boosting Few-shot Semantic Segmentation with Transformers G Sun, Y Liu, J Liang, L Van Gool arXiv preprint arXiv:2108.02266, code: https://github.com/GuoleiSun/TRFS, 2021 | 11 | 2021 |
| MoVideo: Motion-Aware Video Generation with Diffusion Models J Liang, Y Fan, K Zhang, R Timofte, L Van Gool, R Ranjan ECCV2024, project page: https://jingyunliang.github.io/MoVideo/, 2023 | 8 | 2023 |
| Learning Task-Oriented Flows to Mutually Guide Feature Alignment in Synthesized and Real Video Denoising J Cao, Q Wang, J Liang, Y Zhang, K Zhang, R Timofte, L Van Gool arXiv preprint arXiv:2208.11803, 2022 | 5* | 2022 |
| Sharing Key Semantics in Transformer Makes Efficient Image Restoration B Ren, Y Li, J Liang, R Ranjan, M Liu, R Cucchiara, L Van Gool, MH Yang, ... NeurIPS 2024, 2024 | 1* | 2024 |
Luc Van Goolprofessor computer vision INSAIT Sofia University, em. KU Leuven, em. ETHZ, Toyota Lab TRACE在 insait.ai 的电子邮件经过验证
