3 citations · 4 across the 4 of their papers we have counts for
3 papers · 1 filter
VirtualFencer: Generating Fencing Bouts based on Strategies Extracted from In-the-Wild Videos
Zhiyin Lin, Purvi Goel, Joy Yun +2
Fencing is a sport where athletes engage in diverse yet strategically logical motions. While most motions fall into a few high-level actions (e.g. step, lunge, parry), the executio…
CIRCLE: Capture In Rich Contextual Environments
Joao Pedro Araujo, Jiaman Li, Karthik Vetrivel +5
Synthesizing 3D human motion in a contextual, ecological environment is important for simulating realistic activities people perform in the real world. However, conventional optics…
NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action
Kuan-Chieh Wang, Zhenzhen Weng, Maria Xenochristou +4
The task of reconstructing 3D human motion has wideranging applications. The gold standard Motion capture (MoCap) systems are accurate but inaccessible to the general public due to…