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PrEditor3D: Fast and Precise 3D Shape Editing

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arxiv 2412.06592 v1 pith:N5TSJM5R submitted 2024-12-09 cs.CV cs.GR

classification cs.CVcs.GR
keywords editingregionseditedfastintendedprecisepromptsshape
verification ladder T0 review T1 audit T2 compute T3 formal
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We propose a training-free approach to 3D editing that enables the editing of a single shape within a few minutes. The edited 3D mesh aligns well with the prompts, and remains identical for regions that are not intended to be altered. To this end, we first project the 3D object onto 4-view images and perform synchronized multi-view image editing along with user-guided text prompts and user-provided rough masks. However, the targeted regions to be edited are ambiguous due to projection from 3D to 2D. To ensure precise editing only in intended regions, we develop a 3D segmentation pipeline that detects edited areas in 3D space, followed by a merging algorithm to seamlessly integrate edited 3D regions with the original input. Extensive experiments demonstrate the superiority of our method over previous approaches, enabling fast, high-quality editing while preserving unintended regions.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Hunyuan3D-Buffalo 1.0: A Unified Multimodal Model for Scalable 3D Generation, Understanding, and Editing

    cs.CV 2026-08 conditional novelty 6.0 of 10

    A unified 3D multimodal model combines understanding, text-to-3D generation, instruction-guided editing, and part generation in one architecture, trained on an 87M-sample corpus, with claimed state-of-the-art results.

  2. Pro3D-Editor : A Progressive-Views Perspective for Consistent and Precise 3D Editing

    cs.GR 2025-05 conditional novelty 6.0 of 10

    Pro3D-Editor chooses the most editing-salient view, propagates the edit to other key views with per-view LoRA experts, and refines the 3D scene, improving multi-view consistency.

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