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

作者：Shimin Hu, Yuanyi Wei, Feier Zha, Yudong Guo, Juyong Zhang · 发表于：arXiv.org · 年份：2026 · DOI：10.48550/arxiv.2602.21499 · 被引用次数：7 · 研究领域：Computer Science

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 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.