GRAIL: Generating Humanoid Loco-Manipulation from 3D Assets and Video Priors
Tianyi Xie, Ye Yuan, David Minor, Tingwu Wang, Qingwei Ben, Haoyang Weng, Jiefeng Li, Umar Iqbal, Jinhyung Park, Xueting Li, Yuke Zhu, Zhengyi Luo, Jan Kautz, Haotian Zhang, Zi Wang, Chenfanfu Jiang, Linxi Fan, Bowen Wen(Nvidia (United States)), Yufei Ye, Sanja Fidler(University of Toronto)
arXiv (Cornell University)
June 3, 2026
Cited by 0
Related Papers
se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
|arXiv (Cornell University)|2020|123
BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models
|2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)|2021|117
CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation
|2022 International Conference on Robotics and Automation (ICRA)|2022|84