EditFlow3D: Automated Local Editing of 3D Assets with Trajectory Preservation
- URL: http://arxiv.org/abs/2608.03179v1
- Date: Tue, 04 Aug 2026 06:16:17 GMT
- Title: EditFlow3D: Automated Local Editing of 3D Assets with Trajectory Preservation
- Abstract summary: We present EditFlow3D, a training-free framework for local 3D editing.<n>Given a source asset and an edit instruction, a VLM-driven workflow interprets the editing intent.<n>Mask-guided differential flow focuses the edit on the target region.<n>Step-wise trajectory preservation maintains consistency between non-target regions and the source asset.
- Score: 21.575142861728636
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Controllable local editing of 3D assets requires precise target localization and appropriate visual guidance. However, existing methods lack a simple yet accurate way to obtain 3D masks and struggle to achieve the desired edit while faithfully preserving the structure and appearance of non-target regions. To address these challenges, we present EditFlow3D, a training-free framework for local 3D editing. Given a source asset and an edit instruction, a VLM-driven workflow interprets the editing intent and automatically constructs a visual guidance image and a refined 3D editing mask, enabling localized editing in the native representation space of a pretrained 3D generative model. Specifically, mask-guided differential flow focuses the edit on the target region, while step-wise trajectory preservation maintains consistency between non-target regions and the source asset without directly replacing intermediate features. Since the existing Edit3D-Bench covers only a limited range of local editing categories, we further introduce EditFlow-Bench as a complementary benchmark encompassing a broader variety of structural and appearance edits, and evaluate EditFlow3D on both benchmarks. Quantitative results, qualitative comparisons, and a user study demonstrate that EditFlow3D achieves more accurate target-region editing and better preserves non-target regions than existing 3D editing methods.
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