collaborators

10 papers

cs.RO2026

Towards a General Humanoid Loco-Manipulation Model via Egocentric Whole-Body Human Data Pretraining

Chongyang Xu, Zhao Wu, Jin Chen +9

Humanoid whole-body manipulation has advanced rapidly, enabling policies to coordinate locomotion, posture, bimanual interaction, and dexterous hand movements. Meanwhile, egocentri…

cs.RO2026

EgoHumanoid-V2: Human-to-Humanoid Transfer of Coordinated Whole-Body Skills for Loco-Manipulation

Jin Chen, Yiming Jiang, Chongyang Xu +8

Human demonstrations capture diverse scenes and rich whole-body skills without requiring robot teleoperation. Prior work on egocentric transfer has emphasized scene generalization…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

Live Avatar: Streaming Real-time Audio-Driven Avatar Generation with Infinite Length

Yubo Huang, Hailong Guo, Fangtai Wu +9

Audio-driven avatar interaction demands real-time, streaming, and infinite-length generation -- capabilities fundamentally at odds with the sequential denoising and long-horizon dr…

cs.CV2025

Forge4D: Feed-Forward 4D Human Reconstruction and Interpolation from Uncalibrated Sparse-view Videos

Yingdong Hu, Yisheng He, Jinnan Chen +7

Instant reconstruction of dynamic 3D humans from uncalibrated sparse-view videos is critical for numerous downstream applications. Existing methods, however, are either limited by…

cs.CV2025

3D and 4D World Modeling: A Survey

Lingdong Kong, Yu Yang, Jianbiao Mei +20

World modeling has become a cornerstone in AI research, enabling agents to understand, represent, and predict the dynamic environments they inhabit. While prior work largely emphas…

cs.CV2025

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…