activity
20232026
most citedGaussianFlow: Splatting Gaussian Dynamics for 4D Content Creation

4 citations · 4 across the 5 of their papers we have counts for

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.CV2025

Ego4o: Egocentric Human Motion Capture and Understanding from Multi-Modal Input

Jian Wang, Rishabh Dabral, Diogo Luvizon +4

This work focuses on tracking and understanding human motion using consumer wearable devices, such as VR/AR headsets, smart glasses, cellphones, and smartwatches. These devices pro…

cs.CV2024★ 4 cited

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

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…