| 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 | 659 | 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 | 178 | 2021 |
| 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 | 90 | 2021 |
| 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 | 68 | 2021 |
| VRT: A Video Restoration Transformer J Liang, J Cao, Y Fan, K Zhang, R Ranjan, Y Li, R Timofte, L Van Gool arXiv preprint arXiv:2201.12288, code: https://github.com/JingyunLiang/VRT, 2022 | 56 | 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 | 40 | 2021 |
| 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 | 39 | 2021 |
| 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 | 27* | 2019 |
| 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 arXiv preprint arXiv:2203.13278, code: https://github.com/cszn/SCUNet, 2022 | 20 | 2022 |
| 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 | 17* | 2022 |
| Recurrent Video Restoration Transformer with Guided Deformable Attention J Liang, Y Fan, X Xiang, R Ranjan, E Ilg, S Green, J Cao, K Zhang, ... arXiv preprint arXiv:2206.02146, code: https://github.com/JingyunLiang/RVRT, 2022 | 11 | 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 | 6 | 2021 |
| 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 | 4 | 2022 |
| 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 | 3 | 2022 |
| Practical real video denoising with realistic degradation model J Cao, Q Wang, J Liang, Y Zhang, K Zhang, L Van Gool | 2 | 2022 |
| Event-Based Frame Interpolation with Ad-hoc Deblurring L Sun, C Sakaridis, J Liang, P Sun, J Cao, K Zhang, Q Jiang, K Wang, ... arXiv preprint arXiv:2301.05191, 2023 | 1 | 2023 |
| 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, ... | | |
Luc Van Goolprofessor computer vision ETH Zurich,KU Leuven,INSAIT,Head Toyota Lab TRACE @KULÐVerified email at ethz.ch
