Fu-Yun Wang
fywang@link.cuhk.edu.hk

Fu-Yun Wang 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.

Currently, he works closely with Dr. Zhaoyang Huang.

Github / Google Scholar

News

Preprint

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,
arXiv. 2024
Project Page  •   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
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
arXiv:2305.18264
Github  •   ArXiv

Research

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.
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

Sevices

    Reviewer of TPAMI, TCSVT, PRL, CVPR2023, NeurIPS2023, ICLR2024, CVPR2024, ICML2024