1 citations · 1 across the 7 of their papers we have counts for
Showing cs.CVShow all
2 papers · 1 filter
cs.CV2026
WAMJET: A Harness for World Action Model Acceleration
Le Chen, Lixin Liu, Jan Schneider +4
World Action Models (WAMs) leverage pretrained video foundation models for robot manipulation, but their large backbones and video-action co-prediction are expensive. Although exis…
cs.CV2026
LOME: Learning Human-Object Manipulation with Action-Conditioned Egocentric World Model
Quankai Gao, Jiawei Yang, Qiangeng Xu +2
Learning human-object manipulation presents significant challenges due to its fine-grained and contact-rich nature of the motions involved. Traditional physics-based animation requ…