| Ntire 2020 challenge on real image denoising: Dataset, methods and results A Abdelhamed, M Afifi, R Timofte, MS Brown CVPR 2020 Workshops, 496-497, 2020 | 85 | 2020 |
| Aim 2020 challenge on learned image signal processing pipeline A Ignatov, R Timofte, Z Zhang, M Liu, H Wang, W Zuo, J Zhang, R Zhang, ... ECCV 2020 Workshops, 152-170, 2020 | 59 | 2020 |
| NTIRE 2022 challenge on stereo image super-resolution: Methods and results L Wang, Y Guo, Y Wang, J Li, S Gu, R Timofte, L Chen, X Chu, W Yu, ... CVPR 2022 Workshops, 906-919, 2022 | 42 | 2022 |
| NTIRE 2022 challenge on super-resolution and quality enhancement of compressed video: Dataset, methods and results R Yang, R Timofte, M Zheng, Q Xing, M Qiao, M Xu, L Jiang, H Liu, ... CVPR 2022 Workshops, 1221-1238, 2022 | 36 | 2022 |
| NTIRE 2023 challenge on image denoising: Methods and results Y Li, Y Zhang, R Timofte, L Van Gool, Z Tu, K Du, H Wang, H Chen, W Li, ... CVPR 2023 Workshops, 1904-1920, 2023 | 32 | 2023 |
| NTIRE 2022 burst super-resolution challenge G Bhat, M Danelljan, R Timofte, Y Cao, Y Cao, M Chen, X Chen, S Cheng, ... CVPR 2022 Workshops, 1041-1061, 2022 | 30 | 2022 |
| Learning RAW-to-sRGB Mappings With Inaccurately Aligned Supervision Z Zhang, H Wang, M Liu, R Wang, J Zhang, W Zuo ICCV 2021, 4348-4358, 2021 | 29 | 2021 |
| Ntire 2023 challenge on 360deg omnidirectional image and video super-resolution: Datasets, methods and results M Cao, C Mou, F Yu, X Wang, Y Zheng, J Zhang, C Dong, G Li, Y Shan, ... CVPR 2023 Workshops, 1731-1745, 2023 | 27 | 2023 |
| Deep Adaptive Inference Networks for Single Image Super-Resolution M Liu, Z Zhang, L Hou, W Zuo, L Zhang ECCV 2020 Workshops, 131-148, 2020 | 26 | 2020 |
| Spatially adaptive self-supervised learning for real-world image denoising J Li, Z Zhang, X Liu, C Feng, X Wang, L Lei, W Zuo CVPR 2023, 9914-9924, 2023 | 22 | 2023 |
| Self-supervised learning for real-world super-resolution from dual zoomed observations Z Zhang, R Wang, H Zhang, Y Chen, W Zuo ECCV 2022, 610-627, 2022 | 22 | 2022 |
| Reversed image signal processing and RAW reconstruction. AIM 2022 challenge report MV Conde, R Timofte, Y Huang, J Peng, C Chen, C Li, E Pérez-Pellitero, ... ECCV 2022 Workshops, 3-26, 2022 | 16 | 2022 |
| NTIRE 2024 challenge on bracketing image restoration and enhancement: Datasets, methods and results Z Zhang, S Zhang, R Wu, W Zuo, R Timofte Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 11 | 2024 |
| Dreamcontrol: Control-based text-to-3d generation with 3d self-prior T Huang, Y Zeng, Z Zhang, W Xu, H Xu, S Xu, RWH Lau, W Zuo CVPR 2024, 2023 | 8 | 2023 |
| Self-supervised image restoration with blurry and noisy pairs Z Zhang, RJ Xu, M Liu, Z Yan, W Zuo NeurIPS 2022, 35, 29179-29191, 2022 | 7 | 2022 |
| Benchmark dataset and effective inter-frame alignment for real-world video super-resolution R Wang, X Liu, Z Zhang, X Wu, CM Feng, L Zhang, W Zuo CVPR 2023 Workshops, 1168-1177, 2023 | 6 | 2023 |
| Mipi 2022 challenge on rgbw sensor re-mosaic: Dataset and report Q Yang, G Yang, J Jiang, C Li, R Feng, S Zhou, W Sun, Q Zhu, CC Loy, ... ECCV 2022 Workshops, 36-45, 2022 | 5 | 2022 |
| RBSR: Efficient and flexible recurrent network for burst super-resolution R Wu, Z Zhang, S Zhang, H Zhang, W Zuo PRCV 2023, 65-78, 2023 | 4 | 2023 |
| Mipi 2022 challenge on rgbw sensor fusion: Dataset and report Q Yang, G Yang, J Jiang, C Li, R Feng, S Zhou, W Sun, Q Zhu, CC Loy, ... ECCV 2022 Workshops, 46-59, 2022 | 4 | 2022 |
| Exposure Bracketing is All You Need for Unifying Image Restoration and Enhancement Tasks Z Zhang, S Zhang, R Wu, Z Yan, W Zuo arXiv preprint arXiv:2401.00766, 2024 | 3* | 2024 |
Wangmeng ZuoSchool of Computer Science and Technology, Harbin Institute of Technology在 hit.edu.cn 的电子邮件经过验证
