collaborators

5 papers

cs.CV2026

VEPHand: View-Efficient Photometric Hand Performance Capture at Scale

Zhengyang Shen, Kai-Hung Chang, Erroll Wood +18

Robust, high-fidelity 3D hand capture, while fundamental to digital human creation, remains challenging with practical multi-view systems that balance rich photometry with the geom…

cs.CV2026

DSA: Dynamic Step Allocation for Fast Autoregressive Video Generation

Thanh-Tung Le, Yunhan Zhao, Menglei Chai +5

Video diffusion transformers have achieved state-of-the-art visual quality, but their high inference cost remains a major bottleneck for real-time applications. Recent distillation…

cs.CV2024

GaussianFlow: Splatting Gaussian Dynamics for 4D Content Creation

Quankai Gao, Qiangeng Xu, Zhe Cao +5

Creating 4D fields of Gaussian Splatting from images or videos is a challenging task due to its under-constrained nature. While the optimization can draw photometric reference from…

cs.CV2023

MACS: Mass Conditioned 3D Hand and Object Motion Synthesis

Soshi Shimada, Franziska Mueller, Jan Bednarik +7

The physical properties of an object, such as mass, significantly affect how we manipulate it with our hands. Surprisingly, this aspect has so far been neglected in prior work on 3…

cs.CV2023

Egocentric Whole-Body Motion Capture with FisheyeViT and Diffusion-Based Motion Refinement

Jian Wang, Zhe Cao, Diogo Luvizon +5

In this work, we explore egocentric whole-body motion capture using a single fisheye camera, which simultaneously estimates human body and hand motion. This task presents significa…