Velocity-Space 3D Asset Editing
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Abstract (arXiv)
Editing a 3D asset locally, modifying a target region while preserving the rest, is a fundamental requirement of native 3D editing. Existing methods enforce locality through mechanisms external to the generator, such as manual 3D masks, post-hoc voxel merging, or 2D multi-view lifting. None of them intervene where the corruption actually originates: inside the ODE sampler. For a rectified-flow generator to achieve faithful local editing, its velocity field should be strong over the target editing region while vanishing on preserved content. Yet a single velocity field can hardly satisfy both requirements simultaneously, leading to three problems: (i) identity leakage that keeps the edit signal non-zero on preserved regions; (ii) no dedicated edit-amplification channel, so strengthening the edit inevitably perturbs identity; and (iii) an identity drag at the geometry and material stages, where a global condition pulls every token toward the target. We propose VS3D (Velocity-Space 3D Asset editing}), an inversion-free, training-free, and mask-free framework that addresses each problem with a targeted intervention inside the sampler. VS3D integrates three complementary modules, each corresponding to a specific stage of the editing pipeline. Reconstruction-Anchored Source Injection (RASI) absorbs identity leakage by turning the unconditional embedding into a per-step, asset-specific anchor calibrated through source reconstruction. Partial-Mean Guidance (PMG) amplifies the edit signal by contrasting high- and low-quality subsample estimates of the velocity difference, active only where a consistent edit exists. Twin-Agreement Residual injection (TAR) lets the sampler decide token by token what to preserve at the geometry and material stages.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 21 of its 21 references that are in the map. First posted on arXiv 8 May 2026.
Builds on
21 of 21 references.
References · 21
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9 more
- 2025VoxHammer: Training-Free Precise and Coherent 3D Editing in Native 3D Spacecited by 45
- 2024Instant3dit: Multiview Inpainting for Fast Editing of 3D Objectscited by 44
- 2025LATTICE: Democratize High-Fidelity 3D Generation at Scalecited by 44
- 2025NANO3D: A Training-Free Approach for Efficient 3D Editing Without Maskscited by 31
- 2025Edit360: 2D Image Edits to 3D Assets from Any Anglecited by 13
- 2026Easy3E: Feed-Forward 3D Asset Editing via Rectified Voxel Flowcited by 9
- 2026VecSet-Edit: Unleashing Pre-trained LRM for Mesh Editing from Single Imagecited by 4
- 2026ShapeUP: Scalable Image-Conditioned 3D Editingcited by 4
- 2026Vinedresser3D: Agentic Text-guided 3D Editingcited by 3
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Citing papers per year: 2026: 2.
2 papers.