2026
RnG: A Unified Transformer for Complete 3D Modeling from Partial Observations
CVPR 2026
Humans perceive the 3D world from limited 2D observations. While recent feed-forward generalizable 3D reconstruction models can recover structures from sparse images, they typically represent only observed regions, leaving unseen geometry unmodeled. This raises a fundamental question: Can we infer c