Fu-Yun Wang

According to our database, Fu-Yun Wang authored at least 18 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Stable Consistency Tuning: Understanding and Improving Consistency Models.

Fu-Yun Wang, Zhengyang Geng, Hongsheng Li

CoRR, 2024

Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow.

Fu-Yun Wang, Ling Yang, Zhaoyang Huang, Mengdi Wang, Hongsheng Li

CoRR, 2024

Trans4D: Realistic Geometry-Aware Transition for Compositional Text-to-4D Synthesis.

Bohan Zeng, Ling Yang, Siyu Li, Jiaming Liu, Zixiang Zhang, Juanxi Tian, Kaixin Zhu, Yongzhen Guo, Fu-Yun Wang, Minkai Xu, Stefano Ermon, Wentao Zhang

CoRR, 2024

OSV: One Step is Enough for High-Quality Image to Video Generation.

Xiaofeng Mao, Zhengkai Jiang, Fu-Yun Wang, Wenbing Zhu, Jiangning Zhang, Hao Chen, Mingmin Chi, Yabiao Wang

CoRR, 2024

Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiT.

Le Zhuo, Ruoyi Du, Han Xiao, Yangguang Li, Dongyang Liu, Rongjie Huang, Wenze Liu, Lirui Zhao, Fu-Yun Wang, Zhanyu Ma, Xu Luo, Zehan Wang, Kaipeng Zhang, Xiangyang Zhu, Si Liu, Xiangyu Yue, Dingning Liu, Wanli Ouyang, Ziwei Liu, Yu Qiao, Hongsheng Li, Peng Gao

CoRR, 2024

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

CoRR, 2024

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

CoRR, 2024

AnimateLCM: Computation-Efficient Personalized Style Video Generation without Personalized Video Data.

Fu-Yun Wang, Zhaoyang Huang, Weikang Bian, Xiaoyu Shi, Keqiang Sun, Guanglu Song, Yu Liu, Hongsheng Li

Proceedings of the SIGGRAPH Asia 2024 Technical Communications, 2024

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, Ka Chun Cheung, Simon See, Hongwei Qin, Jifeng Dai, Hongsheng Li

Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

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

Proceedings of the Computer Vision - ECCV 2024, 2024

ZoLA: Zero-Shot Creative Long Animation Generation with Short Video Model.

Fu-Yun Wang, Zhaoyang Huang, Qiang Ma, Guanglu Song, Xudong Lu, Weikang Bian, Yijin Li, Yu Liu, Hongsheng Li

Proceedings of the Computer Vision - ECCV 2024, 2024

BlinkVision: A Benchmark for Optical Flow, Scene Flow and Point Tracking Estimation Using RGB Frames and Events.

Yijin Li, Yichen Shen, Zhaoyang Huang, Shuo Chen, Weikang Bian, Xiaoyu Shi, Fu-Yun Wang, Keqiang Sun, Hujun Bao, Zhaopeng Cui, Guofeng Zhang, Hongsheng Li

Proceedings of the Computer Vision - ECCV 2024, 2024

Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance.

Dazhong Shen, Guanglu Song, Zeyue Xue, Fu-Yun Wang, Yu Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

PyCIL: a Python toolbox for class-incremental learning.

Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, De-Chuan Zhan

Sci. China Inf. Sci., September, 2023

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

CoRR, 2023

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

Fu-Yun Wang, Da-Wei Zhou, Liu Liu, Han-Jia Ye, Yatao Bian, De-Chuan Zhan, Peilin Zhao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

FOSTER: Feature Boosting and Compression for Class-Incremental Learning.

Fu-Yun Wang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan

Proceedings of the Computer Vision - ECCV 2022, 2022

Forward Compatible Few-Shot Class-Incremental Learning.

Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, Liang Ma, Shiliang Pu, De-Chuan Zhan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022