AI RESEARCH

VGGT-Edit: Feed-forward Native 3D Scene Editing with Residual Field Prediction

arXiv CS.CV

ArXi:2605.15186v1 Announce Type: new High-quality 3D scene reconstruction has recently advanced toward generalizable feed-forward architectures, enabling the generation of complex environments in a single forward pass. However, despite their strong performance in static scene perception, these models remain limited in responding to dynamic human instructions, which restricts their use in interactive applications. Existing editing methods typically rely on a 2D-lifting strategy, where individual views are edited independently and then lifted back into 3D space.