5 papers
FA-LAM: Focus-Aware Large Avatar Model for One-Shot 4D Animatable Gaussian Head
Yingdong Hu, Yisheng He, Yiming Jiang +3
We propose FA-LAM, a Focus-Aware Large Avatar Model for one-shot animatable Gaussian head creation, while simultaneously enabling static 3D and dynamic 4D full-head recovery. The c…
MeshLAM: Feed-Forward One-Shot Animatable Textured Mesh Avatar Reconstruction
Yisheng He, Steven Hoi
We introduce MeshLAM, a feed-forward framework for one-shot animatable mesh head reconstruction that generates high-fidelity, animatable 3D head avatars from a single image. Unlike…
OMG-Avatar: One-shot Multi-LOD Gaussian Head Avatar
Jianqiang Ren, Lin Liu, Steven Hoi
We propose OMG-Avatar, a novel One-shot method that leverages a Multi-LOD (Level-of-Detail) Gaussian representation for animatable 3D head reconstruction from a single image in 0.2…
ViSA: 3D-Aware Video Shading for Real-Time Upper-Body Avatar Creation
Fan Yang, Heyuan Li, Peihao Li +9
Generating high-fidelity upper-body 3D avatars from one-shot input image remains a significant challenge. Current 3D avatar generation methods, which rely on large reconstruction m…
OmniAvatar: Efficient Audio-Driven Avatar Video Generation with Adaptive Body Animation
Qijun Gan, Ruizi Yang, Jianke Zhu +2
Significant progress has been made in audio-driven human animation, while most existing methods focus mainly on facial movements, limiting their ability to create full-body animati…