NVIDIA Unveils GATOR: Agentic Refinement Turns Casual Photos Into Simulation-Ready 3D Assets
RexDouglass · x · 2026-10-12
NVIDIA Research introduced GATOR, which reconstructs 3D objects from casually captured images in two stages: correspondence-aligned generation conditioned on RGB, masks and pointmaps with text-guided adapters, followed by an agentic edit-render-review loop in Blender that fixes structure, topology and textures using image evidence — no retraining needed. Comparisons against generation-only (Pixal3D) and agent-from-scratch approaches include water-pouring physics simulations. Code coming soon.
Related event: NVIDIA Open-Sources GATOR: Casual Photos into Simulatable 3D Assets(3 posts)→
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