On reinforcement learning for full-length game of starcraft ZJ Pang, RZ Liu, ZY Meng, Y Zhang, Y Yu, T Lu Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4691-4698, 2019 | 92 | 2019 |
Rethinking noise synthesis and modeling in raw denoising Y Zhang, H Qin, X Wang, H Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 52 | 2021 |
IDR: Self-supervised image denoising via iterative data refinement Y Zhang, D Li, KL Law, X Wang, H Qin, H Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 42 | 2022 |
Learning degradation representations for image deblurring D Li, Y Zhang, KC Cheung, X Wang, H Qin, H Li European Conference on Computer Vision, 736-753, 2022 | 40 | 2022 |
Kbnet: Kernel basis network for image restoration Y Zhang, D Li, X Shi, D He, K Song, X Wang, H Qin, H Li arXiv preprint arXiv:2303.02881, 2023 | 28 | 2023 |
A simple baseline for video restoration with grouped spatial-temporal shift D Li, X Shi, Y Zhang, KC Cheung, S See, X Wang, H Qin, H Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 18 | 2023 |
Efficient burst raw denoising with variance stabilization and multi-frequency denoising network D Li, Y Zhang, KL Law, X Wang, H Qin, H Li International Journal of Computer Vision 130 (8), 2060-2080, 2022 | 8 | 2022 |
Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling X Shi, Z Huang, FY Wang, W Bian, D Li, Y Zhang, M Zhang, KC Cheung, ... arXiv preprint arXiv:2401.15977, 2024 | 6 | 2024 |
A unified conditional framework for diffusion-based image restoration Y Zhang, X Shi, D Li, X Wang, J Wang, H Li Advances in Neural Information Processing Systems 36, 2024 | 4 | 2024 |
No attention is needed: Grouped spatial-temporal shift for simple and efficient video restorers D Li, X Shi, Y Zhang, X Wang, H Qin, H Li CoRR, abs/2206.10810, 2022 | 4 | 2022 |