Preprint
Aug 2026
HandEdit: A Unified Benchmark for Egocentric Human-to-Robot Dexterous Hand Image Editing
HandEdit serves as a critical resource at the intersection of image editing and robotics: it advances embodiment-aware editing models while enabling scalable dexterous robotic learning from abundant human video data, paving the way for more generalizable Embodied AI.
Zhen-Jie Yang, Xingyu Jiao, Guopeng Zhong et al.
· 5 citations