110 citations · 316 across the 13 of their papers we have counts for
8 papers · 1 filter
Controllable 3D Face Generation with Conditional Style Code Diffusion
Xiaolong Shen, Jianxin Ma, Chang Zhou +1
Generating photorealistic 3D faces from given conditions is a challenging task. Existing methods often rely on time-consuming one-by-one optimization approaches, which are not effi…
JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh Recovery
Jiahao Li, Zongxin Yang, Xiaohan Wang +3
In this study, we focus on the problem of 3D human mesh recovery from a single image under obscured conditions. Most state-of-the-art methods aim to improve 2D alignment technologi…
TransHuman: A Transformer-based Human Representation for Generalizable Neural Human Rendering
Xiao Pan, Zongxin Yang, Jianxin Ma +2
In this paper, we focus on the task of generalizable neural human rendering which trains conditional Neural Radiance Fields (NeRF) from multi-view videos of different characters. T…
Global-to-Local Modeling for Video-based 3D Human Pose and Shape Estimation
Xiaolong Shen, Zongxin Yang, Xiaohan Wang +3
Video-based 3D human pose and shape estimations are evaluated by intra-frame accuracy and inter-frame smoothness. Although these two metrics are responsible for different ranges of…
OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models
Jinze Bai, Rui Men, Hao Yang +15
Generalist models, which are capable of performing diverse multi-modal tasks in a task-agnostic way within a single model, have been explored recently. Being, hopefully, an alterna…
Pretrained Diffusion Models for Unified Human Motion Synthesis
Jianxin Ma, Shuai Bai, Chang Zhou
Generative modeling of human motion has broad applications in computer animation, virtual reality, and robotics. Conventional approaches develop separate models for different motio…