Vision-Language-Action (VLA) models that directly regress joint-space actions avoid the deployment-time cost of inverse kinematics. However, their training objectives remain misaligned with task success, as joint-space losses ignore the unequal physical consequences of joint errors and visual conditioning lacks explici...
Ze-Yuan Ren, Guan-Xun Zhao, Qi Li et al.· 0 citations
This work presents GigaBrain-0.7, an embodied foundation model with substantially improved generalization across diverse robot embodiments, and introduces one-stage alignment training that jointly optimizes vision-language understanding and multi-embodiment action generation.
GigaBrain Team, An-Gen Ye, Axiang Sun et al.· 7 citations· ⚡1
A novel framework that leverages multiple individual photographs to generate identitycustomized video, and a comprehensive high-quality dataset of 20,000 videos, thereby establishing a crucial resource to advance future research in multi-ID video generation.
Xinyang Song, Li-Bin Wang, Jianxin Sun et al.· IEEE transactions on multime...· 0 citations
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