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

• URL: http://arxiv.org/abs/2602.21499v1
• Date: Wed, 25 Feb 2026 02:15:14 GMT
• Title: Easy3E: Feed-Forward 3D Asset Editing via Rectified Voxel Flow
• Authors: Shimin Hu, Yuanyi Wei, Fei Zha, Yudong Guo, Juyong Zhang,
• Abstract summary: We propose an effective and fully feedforward 3D editing framework based on the TRELLIS generative backbone.<n>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.
• Score: 29.8200628539749
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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