Fu-Yun Wang

Fu-Yun Wang (Pronounced as "Foo-Yoon Wahng" IPA: [fu˧˥ yn˧˥ wɑŋ]) is a first-year Ph.D. student at MMLab@CUHK, supervised by Professor Xiaogang Wang and Professor Hongsheng Li.

Prior to this, he obtained his B.Eng. from Nanjing University in 2023 with first honor, supervised by Professor Han-Jia Ye and Dr. Da-Wei Zhou in the LAMDA Group.

Currently, he works on diffusion acceleration. He is also interested in building innovative generative vision applications. He works closely with Dr. Zhaoyang Huang.

Github / Google Scholar



Phased Consistency Model

Fu-Yun Wang, Zhaoyang Huang, Alexander William Bergman, Dazhong Shen, Peng Gao, Michael Lingelbach, Keqiang Sun, Weikang Bian, Guanglu Song, Yu Liu, Hongsheng Li, Xiaogang Wang
arXiv. 2024
Project Page  •   Github  •   arXiv

AnimateLCM: Accelerating the Animation of Personalized Diffusion Models and Adapters with Decoupled Consistency Learning

Fu-Yun Wang, Zhaoyang Huang, Xiaoyu Shi, Weikang Bian, Guanglu Song, Yu Liu, Hongsheng Li
arXiv. 2024
Project Page  •   Github   •   arXiv

Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising

Fu-Yun Wang, Wenshuo Chen, Guanglu Song, Han-Jia Ye, Yu Liu, Hongsheng Li
Github  •   arXiv


Be-Your-Outpainter: Mastering Video Outpainting through Input-Specific Adaptation

Fu-Yun Wang, Xiaoshi Wu, Zhaoyang Huang, Xiaoyu Shi, Dazhong Shen, Guanglu Song, Yu Liu, Hongsheng Li,
European Conference on Computer Vision. ECCV 2024.
Project Page  •   arXiv

Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling

Xiaoyu Shi*, Zhaoyang Huang*, Fu-Yun Wang*, Weikang Bian*, Dasong Li, Yi Zhang, Manyuan Zhang, Kachun Cheung, Simon See, Hongwei Qin, Jifeng Dai, Hongsheng Li
Special Interest Group on GRAPHics and Interactive Techniques.SIGGRAPH 2024.
SIGGRAPH 2024 Technical Papers Trailer
Project Page  •   arXiv

Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance

Dazhong Shen, Guanglu Song, Zeyue Xue, Fu-Yun Wang, Yu Liu,
IEEE Conference on Computer Vision and Pattern Recognition.CVPR 2024.

FOSTER: Feature Boosting and Compression for Class-Incremental Learning

Fu-Yun Wang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
European Conference on Computer Vision. ECCV 2022.
Github  •   arXiv  •  

BEEF: Bi-Compatible Class-Incremental via Energy-Based Expansion and Fusion

Fu-Yun Wang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
Eleventh International Conference on Learning Representations. ICLR 2023.
Github  •   Paper

FACT: Forward Compatible Few-Shot Class-Incremental Learning

Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, Liang Ma, Shiliang Pu, De-Chuan Zhan
IEEE Conference on Computer Vision and Pattern Recognition.CVPR 2022.
Github  •   arXiv  •  

PyCIL: A Python Toolbox for Class-Incremental Learning

Da-Wei Zhou*, Fu-Yun Wang*, Han-Jia Ye, De-Chuan Zhan
SCIENCE CHINA Information Sciences. SCIS.
Github  •   arXiv  •   Media   •  

Awards & Honor

  • 2023 HKPFS (Hong Kong PhD Fellowship Scheme)
  • 2023 Outstanding Graduate of Nanjing University
  • 2023 Outstanding Undergraduate Thesis of Nanjing University
  • 2022 Sensetime Scholarship
  • 2022 Huawei Scholarship
  • 2021 National Scholarship


    Reviewer of TPAMI, TCSVT, PRL, CVPR2023, NeurIPS2023, ICLR2024, CVPR2024, ICML2024, ECCV 2024, BMVC 2024