Foster: Feature boosting and compression for class-incremental learning FY Wang, DW Zhou, HJ Ye, DC Zhan ECCV, 398-414, 2022 | 194 | 2022 |
Forward compatible few-shot class-incremental learning DW Zhou, FY Wang, HJ Ye, L Ma, S Pu, DC Zhan CVPR, 9046-9056, 2022 | 171 | 2022 |
Pycil: A python toolbox for class-incremental learning DW Zhou, FY Wang, HJ Ye, DC Zhan Science China Information Sciences 66 (9), 197101, 2023 | 54 | 2023 |
Gen-l-video: Multi-text to long video generation via temporal co-denoising FY Wang, W Chen, G Song, HJ Ye, Y Liu, H Li arXiv preprint arXiv:2305.18264, 2023 | 38 | 2023 |
BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion FY Wang, DW Zhou, L Liu, HJ Ye, Y Bian, DC Zhan, P Zhao ICLR, 0 | 32* | |
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, ... SIGGRAPH, 2024 | 11 | 2024 |
Animatelcm: Accelerating the animation of personalized diffusion models and adapters with decoupled consistency learning FY Wang, Z Huang, X Shi, W Bian, G Song, Y Liu, H Li arXiv preprint arXiv:2402.00769, 2024 | 8 | 2024 |
Be-Your-Outpainter: Mastering Video Outpainting through Input-Specific Adaptation FY Wang, X Wu, Z Huang, X Shi, D Shen, G Song, Y Liu, H Li ECCV, 2024 | 1 | 2024 |
Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiT L Zhuo, R Du, H Xiao, Y Li, D Liu, R Huang, W Liu, L Zhao, FY Wang, ... arXiv preprint arXiv:2406.18583, 2024 | | 2024 |
Phased Consistency Model FY Wang, Z Huang, AW Bergman, D Shen, P Gao, M Lingelbach, K Sun, ... arXiv preprint arXiv:2405.18407, 2024 | | 2024 |
Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance D Shen, G Song, Z Xue, FY Wang, Y Liu CVPR, 9370-9379, 2024 | | 2024 |