no code implementations • 2 Dec 2024 • Liangwei Jiang, Ruida Li, Zhifeng Zhang, Shuo Fang, Chenguang Ma
As its core, an innovative decoupled scheme is proposed to disentangle expression features in the expression template from other extraneous information, such as identity, skin, and style.
1 code implementation • 25 Nov 2024 • Yutong Wang, Jiajie Teng, Jiajiong Cao, Yuming Li, Chenguang Ma, Hongteng Xu, Dixin Luo
In Stage \Rmnum{1}, we learn the model with a regularizer mitigating the codebook collapse problem.
1 code implementation • 15 Nov 2024 • Rang Meng, Xingyu Zhang, Yuming Li, Chenguang Ma
Recent work on human animation usually involves audio, pose, or movement maps conditions, thereby achieves vivid animation quality.
no code implementations • 27 Sep 2024 • Jinming Lou, Wenyang Luo, Yufan Liu, Bing Li, Xinmiao Ding, Weiming Hu, Jiajiong Cao, Yuming Li, Chenguang Ma
Diffusion transformers have gained substantial interest in diffusion generative modeling due to their outstanding performance.
no code implementations • 11 Jul 2024 • ZhiYuan Chen, Jiajiong Cao, Zhiquan Chen, Yuming Li, Chenguang Ma
Through the implementation of a novel training strategy, EchoMimic is capable of generating portrait videos not only by audios and facial landmarks individually, but also by a combination of both audios and selected facial landmarks.
no code implementations • 13 Dec 2023 • Weilong Chai, Dandan Zheng, Jiajiong Cao, Zhiquan Chen, Changbao Wang, Chenguang Ma
Text-to-image diffusion models (SD) exhibit significant advancements while requiring extensive computational resources.
1 code implementation • CVPR 2022 • Lizhen Wang, ZhiYuan Chen, Tao Yu, Chenguang Ma, Liang Li, Yebin Liu
In the coarse module, we generate a base parametric model from large-scale RGB-D images, which is able to predict accurate rough 3D face models in different genders, ages, etc.
no code implementations • CVPR 2014 • Chenguang Ma, Xing Lin, Jinli Suo, Qionghai Dai, Gordon Wetzstein
Capturing and understanding visual signals is one of the core interests of computer vision.