AI RESEARCH

Easy3E: Feed-Forward 3D Asset Editing via Rectified Voxel Flow

arXiv CS.CV

ArXi:2602.21499v2 Announce Type: replace Existing 3D editing methods rely on computationally intensive scene-by-scene iterative optimization and suffer from multi-view inconsistency. We propose an effective and feed-forward 3D editing framework based on the TRELLIS generative backbone, capable of modifying 3D models from a single editing view. Our framework addresses two key issues: adapting