activity
20242026
collaborators

10 papers

cs.CV2026

MetricHMSR:Metric Human Mesh and Scene Recovery from Monocular Images

Chentao Song, He Zhang, Haolei Yuan +4

We introduce MetricHMSR, a novel framework for recovering metric human meshes and 3D scenes from a single monocular image. Existing methods struggle to recover metric scale due to…

cs.RO2026

GAF: Gaussian Action Field as a 4D Representation for Dynamic World Modeling in Robotic Manipulation

Ying Chai, Litao Deng, Ruizhi Shao +6

Accurate scene perception is critical for vision-based robotic manipulation. Existing approaches typically follow either a Vision-to-Action (V-A) paradigm, predicting actions direc…

cs.CV2026

Mix3R: Mixing Feed-forward Reconstruction and Generative 3D Priors for Joint Multi-view Aligned 3D Reconstruction and Pose Estimation

Siyou Lin, Zhou Xue, Hongwen Zhang +4

Recent trends in sparse-view 3D reconstruction have taken two different paths: feed-forward reconstruction that predicts pixel-aligned point maps without a complete geometry, and g…

cs.CV2026

OmniHands: Towards Robust 4D Hand Mesh Recovery via A Versatile Transformer

Dixuan Lin, Yuxiang Zhang, Mengcheng Li +5

In this paper, we introduce OmniHands, a universal approach to recovering interactive hand meshes and their relative movement from monocular or multi-view inputs. Our approach addr…

cs.CV2026

SharpTimeGS: Sharp and Stable Dynamic Gaussian Splatting via Lifespan Modulation

Zhanfeng Liao, Jiajun Zhang, Hanzhang Tu +4

Novel view synthesis of dynamic scenes is fundamental to achieving photorealistic 4D reconstruction and immersive visual experiences. Recent progress in Gaussian-based representati…

cs.CV2026

CloSET: Modeling Clothed Humans on Continuous Surface with Explicit Template Decomposition

Hongwen Zhang, Siyou Lin, Ruizhi Shao +5

Creating animatable avatars from static scans requires the modeling of clothing deformations in different poses. Existing learning-based methods typically add pose-dependent deform…