Easy3E: Feed-Forward 3D Asset Editing via Rectified Voxel Flow
This addresses the challenge of efficient and consistent 3D asset editing for applications in computer graphics and AI, representing a novel method for a known bottleneck.
The paper tackled the problem of computationally intensive and inconsistent 3D editing by proposing a feed-forward framework that enables fast, globally consistent, and high-fidelity 3D model editing from a single view.
Existing 3D editing methods rely on computationally intensive scene-by-scene iterative optimization and suffer from multi-view inconsistency. We propose an effective and fully feedforward 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 training-free 2D editing to structured 3D representations, and overcoming the bottleneck of appearance fidelity in compressed 3D features. To ensure geometric consistency, we introduce Voxel FlowEdit, an edit-driven flow in the sparse voxel latent space that achieves globally consistent 3D deformation in a single pass. To restore high-fidelity details, we develop a normal-guided single to multi-view generation module as an external appearance prior, successfully recovering high-frequency textures. Experiments demonstrate that our method enables fast, globally consistent, and high-fidelity 3D model editing.