40 citations · 49 across the 15 of their papers we have counts for
12 papers
HHMR: Holistic Hand Mesh Recovery by Enhancing the Multimodal Controllability of Graph Diffusion Models
Mengcheng Li, Hongwen Zhang, Yuxiang Zhang +3
Recent years have witnessed a trend of the deep integration of the generation and reconstruction paradigms. In this paper, we extend the ability of controllable generative models f…
Lodge: A Coarse to Fine Diffusion Network for Long Dance Generation Guided by the Characteristic Dance Primitives
Ronghui Li, YuXiang Zhang, Yachao Zhang +5
We propose Lodge, a network capable of generating extremely long dance sequences conditioned on given music. We design Lodge as a two-stage coarse to fine diffusion architecture, a…
STAF: 3D Human Mesh Recovery from Video with Spatio-Temporal Alignment Fusion
Wei Yao, Hongwen Zhang, Yunlian Sun +1
The recovery of 3D human mesh from monocular images has significantly been developed in recent years. However, existing models usually ignore spatial and temporal information, whic…
HAvatar: High-fidelity Head Avatar via Facial Model Conditioned Neural Radiance Field
Xiaochen Zhao, Lizhen Wang, Jingxiang Sun +3
The problem of modeling an animatable 3D human head avatar under light-weight setups is of significant importance but has not been well solved. Existing 3D representations either p…
Leveraging Intrinsic Properties for Non-Rigid Garment Alignment
Siyou Lin, Boyao Zhou, Zerong Zheng +2
We address the problem of aligning real-world 3D data of garments, which benefits many applications such as texture learning, physical parameter estimation, generative modeling of…
AvatarReX: Real-time Expressive Full-body Avatars
Zerong Zheng, Xiaochen Zhao, Hongwen Zhang +2
We present AvatarReX, a new method for learning NeRF-based full-body avatars from video data. The learnt avatar not only provides expressive control of the body, hands and the face…