| Esrgan: Enhanced super-resolution generative adversarial networks X Wang, K Yu, S Wu, J Gu, Y Liu, C Dong, Y Qiao, C Change Loy Proceedings of the European conference on computer vision (ECCV) workshops, 0-0, 2018 | 2643 | 2018 |
| Ntire 2017 challenge on single image super-resolution: Methods and results R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1246 | 2017 |
| Recovering realistic texture in image super-resolution by deep spatial feature transform X Wang, K Yu, C Dong, CC Loy Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 684 | 2018 |
| Edvr: Video restoration with enhanced deformable convolutional networks X Wang, KCK Chan, K Yu, C Dong, C Change Loy Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 672 | 2019 |
| Ntire 2018 challenge on single image super-resolution: Methods and results R Timofte, S Gu, J Wu, L Van Gool Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 283 | 2018 |
| Real-esrgan: Training real-world blind super-resolution with pure synthetic data X Wang, L Xie, C Dong, Y Shan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 251 | 2021 |
| Basicvsr: The search for essential components in video super-resolution and beyond KCK Chan, X Wang, K Yu, C Dong, CC Loy Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 187 | 2021 |
| Towards real-world blind face restoration with generative facial prior X Wang, Y Li, H Zhang, Y Shan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 160 | 2021 |
| Glean: Generative latent bank for large-factor image super-resolution KCK Chan, X Wang, X Xu, J Gu, CC Loy Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 108 | 2021 |
| Understanding Deformable Alignment in Video Super-Resolution KCK Chan, X Wang, K Yu, C Dong, CC Loy arXiv preprint arXiv:2009.07265, 2020 | 83 | 2020 |
| Deep network interpolation for continuous imagery effect transition X Wang, K Yu, C Dong, X Tang, CC Loy Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 73 | 2019 |
| Path-restore: Learning network path selection for image restoration K Yu, X Wang, C Dong, X Tang, CC Loy IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 7078 …, 2021 | 67 | 2021 |
| Positional encoding as spatial inductive bias in gans R Xu, X Wang, K Chen, B Zhou, CC Loy Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 56 | 2021 |
| Towards vivid and diverse image colorization with generative color prior Y Wu, X Wang, Y Li, H Zhang, X Zhao, Y Shan Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 35 | 2021 |
| Ntire 2019 challenge on video deblurring: Methods and results S Nah, R Timofte, S Baik, S Hong, G Moon, S Son, K Mu Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 32 | 2019 |
| Ntire 2019 challenge on video super-resolution: Methods and results S Nah, R Timofte, S Gu, S Baik, S Hong, G Moon, S Son, K Mu Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 31 | 2019 |
| Robust reference-based super-resolution via c2-matching Y Jiang, KCK Chan, X Wang, CC Loy, Z Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 26 | 2021 |
| BasicSR: Open Source Image and Video Restoration Toolbox X Wang, K Yu, KCK Chan, C Dong, CC Loy https://github.com/xinntao/BasicSR, 2020 | 24* | 2020 |
| Finding discriminative filters for specific degradations in blind super-resolution L Xie, X Wang, C Dong, Z Qi, Y Shan Advances in Neural Information Processing Systems 34, 51-61, 2021 | 11 | 2021 |
| Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation JZ Wu, Y Ge, X Wang, W Lei, Y Gu, W Hsu, Y Shan, X Qie, MZ Shou arXiv preprint arXiv:2212.11565, 2022 | 8 | 2022 |
Chao DongShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences在 siat.ac.cn 的電子郵件地址已通過驗證
