Preprint
Aug 2026
RORA: Realistic Object Reconstruction with Articulation
This work proposes the first end-to-end pipeline that reconstructs simulation-ready assets with accurate articulation from a single static object video input through suggestion based human-in-the-loop process, and achieves precise articulation results on partnet-mobility-v0 dataset and real objects.
Hyesung Lee, Young-Seon Lee, Kyutae Lee et al.
· 1 citation