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View-Consistent 3D Editing with Gaussian Splatting

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arxiv 2403.11868 v10 pith:PWR2N3TG submitted 2024-03-18 cs.GR cs.CV

classification cs.GRcs.CV
keywords editingconsistencyimagesmulti-viewvceditacrosscollapseedited
verification ladder T0 review T1 audit T2 compute T3 formal
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The advent of 3D Gaussian Splatting (3DGS) has revolutionized 3D editing, offering efficient, high-fidelity rendering and enabling precise local manipulations. Currently, diffusion-based 2D editing models are harnessed to modify multi-view rendered images, which then guide the editing of 3DGS models. However, this approach faces a critical issue of multi-view inconsistency, where the guidance images exhibit significant discrepancies across views, leading to mode collapse and visual artifacts of 3DGS. To this end, we introduce View-consistent Editing (VcEdit), a novel framework that seamlessly incorporates 3DGS into image editing processes, ensuring multi-view consistency in edited guidance images and effectively mitigating mode collapse issues. VcEdit employs two innovative consistency modules: the Cross-attention Consistency Module and the Editing Consistency Module, both designed to reduce inconsistencies in edited images. By incorporating these consistency modules into an iterative pattern, VcEdit proficiently resolves the issue of multi-view inconsistency, facilitating high-quality 3DGS editing across a diverse range of scenes. Further video results are shown in http://vcedit.github.io.

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Cited by 3 Pith papers

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

  1. Look Before You Edit: Attention-Guided Camera Placement and Multi-View Alignment for 3D Gaussian Splatting Editing

    cs.CV 2026-07 conditional novelty 6.0 of 10

    A 3D Gaussian Splatting editing pipeline that chooses camera positions using diffusion attention statistics and aligns self- and cross-attention across views to produce localized, consistent text-driven edits with few...

  2. Edit in 2D, Verify in 3D: Reinforcement Learning for Multi-view Consistent Scene Editing

    cs.CV 2026-03 conditional novelty 6.0 of 10

    RL3DEdit fine-tunes FLUX-Kontext with GRPO using VGGT confidence and pose rewards to produce multi-view consistent 3D scene edits in a single pass.

  3. GSEditPro: 3D Gaussian Splatting Editing with Attention-based Progressive Localization

    cs.CV 2024-11 conditional novelty 5.0 of 10

    A text-driven 3D editing framework that tags 3D Gaussian points via cross-attention and uses SDS plus pseudo-GT guidance to edit only the target region.

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