8 citations · 10 across the 4 of their papers we have counts for
4 papers
AvatarBrush: Monocular Reconstruction of Gaussian Avatars with Intuitive Local Editing
Mengtian Li, Shengxiang Yao, Yichen Pan +4
The efficient reconstruction of high-quality and intuitively editable human avatars presents a pressing challenge in the field of computer vision. Recent advancements, such as 3DGS…
AniGaussian: Animatable Gaussian Avatar with Pose-guided Deformation
Mengtian Li, Shengxiang Yao, Chen Kai +3
Recent advancements in Gaussian-based human body reconstruction have achieved notable success in creating animatable avatars. However, there are ongoing challenges to fully exploit…
Infinite Motion: Extended Motion Generation via Long Text Instructions
Mengtian Li, Chengshuo Zhai, Shengxiang Yao +3
In the realm of motion generation, the creation of long-duration, high-quality motion sequences remains a significant challenge. This paper presents our groundbreaking work on "Inf…
GaussianBody: Clothed Human Reconstruction via 3d Gaussian Splatting
Mengtian Li, Shengxiang Yao, Zhifeng Xie +1
In this work, we propose a novel clothed human reconstruction method called GaussianBody, based on 3D Gaussian Splatting. Compared with the costly neural radiance based models, 3D…