no code implementations • 29 Mar 2024 • Luozhou Wang, Guibao Shen, Yixun Liang, Xin Tao, Pengfei Wan, Di Zhang, Yijun Li, Yingcong Chen
In this research, we present a novel approach to motion customization in video generation, addressing the widespread gap in the thorough exploration of motion representation within video generative models.
1 code implementation • 7 Mar 2024 • Yuanhao Cai, Yixun Liang, Jiahao Wang, Angtian Wang, Yulun Zhang, Xiaokang Yang, Zongwei Zhou, Alan Yuille
X-ray is widely applied for transmission imaging due to its stronger penetration than natural light.
1 code implementation • 19 Nov 2023 • Yixun Liang, Xin Yang, Jiantao Lin, Haodong Li, Xiaogang Xu, Yingcong Chen
The recent advancements in text-to-3D generation mark a significant milestone in generative models, unlocking new possibilities for creating imaginative 3D assets across various real-world scenarios.
no code implementations • 19 Mar 2023 • Yixun Liang, Hao He, Shishi Xiao, Hao Lu, Yingcong Chen
In this paper, we propose a principled approach that supports learning from heterogeneous datasets with different label sets.