2 citations · 2 across the 5 of their papers we have counts for
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Human Video Generation from a Single Image with 3D Pose and View Control
Tiantian Wang, Chun-Han Yao, Tao Hu +3
Recent diffusion methods have made significant progress in generating videos from single images due to their powerful visual generation capabilities. However, challenges persist in…
FashionEngine: Interactive 3D Human Generation and Editing via Multimodal Controls
Tao Hu, Fangzhou Hong, Zhaoxi Chen +1
We present FashionEngine, an interactive 3D human generation and editing system that creates 3D digital humans via user-friendly multimodal controls such as natural languages, visu…
SurMo: Surface-based 4D Motion Modeling for Dynamic Human Rendering
Tao Hu, Fangzhou Hong, Ziwei Liu
Dynamic human rendering from video sequences has achieved remarkable progress by formulating the rendering as a mapping from static poses to human images. However, existing methods…
StructLDM: Structured Latent Diffusion for 3D Human Generation
Tao Hu, Fangzhou Hong, Ziwei Liu
Recent 3D human generative models have achieved remarkable progress by learning 3D-aware GANs from 2D images. However, existing 3D human generative methods model humans in a compac…
GauHuman: Articulated Gaussian Splatting from Monocular Human Videos
Shoukang Hu, Ziwei Liu
We present, GauHuman, a 3D human model with Gaussian Splatting for both fast training (1 ~ 2 minutes) and real-time rendering (up to 189 FPS), compared with existing NeRF-based imp…