no code implementations • 17 Apr 2024 • Zhiheng Liu, Hao Ouyang, Qiuyu Wang, Ka Leong Cheng, Jie Xiao, Kai Zhu, Nan Xue, Yu Liu, Yujun Shen, Yang Cao
3D Gaussians have recently emerged as an efficient representation for novel view synthesis.
no code implementations • 12 Dec 2023 • Jie Xiao, Kai Zhu, Han Zhang, Zhiheng Liu, Yujun Shen, Yu Liu, Xueyang Fu, Zheng-Jun Zha
Consistency Models (CMs) have showed a promise in creating visual content efficiently and with high quality.
1 code implementation • 7 Dec 2023 • Yujie Wei, Shiwei Zhang, Zhiwu Qing, Hangjie Yuan, Zhiheng Liu, Yu Liu, Yingya Zhang, Jingren Zhou, Hongming Shan
In motion learning, we architect a motion adapter and fine-tune it on the given videos to effectively model the target motion pattern.
no code implementations • 5 Dec 2023 • Xi Chen, Zhiheng Liu, Mengting Chen, Yutong Feng, Yu Liu, Yujun Shen, Hengshuang Zhao
In particular, considering the facts that (1) text can only describe motions roughly (e. g., regardless of the moving speed) and (2) text may include both content and motion descriptions, we introduce a motion intensity estimation module as well as a text re-weighting module to reduce the ambiguity of text-to-motion mapping.
1 code implementation • 30 May 2023 • Zhiheng Liu, Yifei Zhang, Yujun Shen, Kecheng Zheng, Kai Zhu, Ruili Feng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao
Synthesizing images with user-specified subjects has received growing attention due to its practical applications.
1 code implementation • 9 Mar 2023 • Zhiheng Liu, Ruili Feng, Kai Zhu, Yifei Zhang, Kecheng Zheng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao
Concatenating multiple clusters of concept neurons can vividly generate all related concepts in a single image.
no code implementations • 8 Feb 2022 • Zhiheng Liu, Kai Zhu, Yang Cao
Exemplar-based class-incremental learning is to recognize new classes while not forgetting old ones, whose samples can only be saved in limited memory.