| Stgan: A unified selective transfer network for arbitrary image attribute editing M Liu, Y Ding, M Xia, X Liu, E Ding, W Zuo, S Wen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 352 | 2019 |
| Learning warped guidance for blind face restoration X Li, M Liu, Y Ye, W Zuo, L Lin, R Yang Proceedings of the European conference on computer vision (ECCV), 272-289, 2018 | 134 | 2018 |
| Unpaired learning of deep image denoising X Wu, M Liu, Y Cao, D Ren, W Zuo European conference on computer vision, 352-368, 2020 | 120 | 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, ... Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 58 | 2020 |
| Learning flow-based feature warping for face frontalization with illumination inconsistent supervision Y Wei, M Liu, H Wang, R Zhu, G Hu, W Zuo Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 36 | 2020 |
| Learning Symmetry Consistent Deep CNNs for Face Completion X Li, M Liu, J Zhu, W Zuo, M Wang, G Hu, L Zhang arXiv preprint arXiv:1812.07741, 2018 | 32 | 2018 |
| Learning raw-to-srgb mappings with inaccurately aligned supervision Z Zhang, H Wang, M Liu, R Wang, J Zhang, W Zuo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 28 | 2021 |
| Two-stage single image reflection removal with reflection-aware guidance Y Li, M Liu, Y Yi, Q Li, D Ren, W Zuo Applied Intelligence 53 (16), 19433-19448, 2023 | 26 | 2023 |
| Deep adaptive inference networks for single image super-resolution M Liu, Z Zhang, L Hou, W Zuo, L Zhang Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 24 | 2020 |
| Mipi 2022 challenge on under-display camera image restoration: Methods and results R Feng, C Li, S Zhou, W Sun, Q Zhu, J Jiang, Q Yang, CC Loy, J Gu, ... European Conference on Computer Vision, 60-77, 2022 | 20 | 2022 |
| Survey on leveraging pre-trained generative adversarial networks for image editing and restoration M Liu, Y Wei, X Wu, W Zuo, L Zhang Science China Information Sciences 66 (5), 151101, 2023 | 16 | 2023 |
| 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, ... European Conference on Computer Vision, 3-26, 2022 | 16 | 2022 |
| Human guided ground-truth generation for realistic image super-resolution D Chen, J Liang, X Zhang, M Liu, H Zeng, L Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 11 | 2023 |
| Self-supervised image restoration with blurry and noisy pairs Z Zhang, RJ Xu, M Liu, Z Yan, W Zuo Advances in Neural Information Processing Systems 35, 29179-29191, 2022 | 6 | 2022 |
| Physics-guided iso-dependent sensor noise modeling for extreme low-light photography Y Cao, M Liu, S Liu, X Wang, L Lei, W Zuo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 5 | 2023 |
| Myriad: Large multimodal model by applying vision experts for industrial anomaly detection Y Li, H Wang, S Yuan, M Liu, D Zhao, Y Guo, C Xu, G Shi, W Zuo arXiv preprint arXiv:2310.19070, 2023 | 3 | 2023 |
| Adaptive network combination for single-image reflection removal: A domain generalization perspective M Liu, J Pan, Z Yan, W Zuo, L Zhang arXiv preprint arXiv:2204.01505, 2022 | 3 | 2022 |
| Black-box tuning of vision-language models with effective gradient approximation Z Guo, Y Wei, M Liu, Z Ji, J Bai, Y Guo, W Zuo arXiv preprint arXiv:2312.15901, 2023 | 2 | 2023 |
| Learning diverse tone styles for image retouching H Wang, J Zhang, M Liu, X Wu, W Zuo IEEE Transactions on Image Processing, 2023 | 2 | 2023 |
| MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces Z Yin, M Liu, X Li, H Yang, L Xiao, W Zuo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 1 | 2023 |
Wangmeng ZuoSchool of Computer Science and Technology, Harbin Institute of TechnologyVerified email at hit.edu.cn
