3D-GIMP: When 3D Gaussian Inpainting Meets PatchMatch

• URL: http://arxiv.org/abs/2607.20789v1
• Date: Wed, 22 Jul 2026 23:27:20 GMT
• Title: 3D-GIMP: When 3D Gaussian Inpainting Meets PatchMatch
• Abstract summary: We present 3D-GIMP, a novel hybrid paradigm for high-fidelity object removal in 3D Gaussian Splatting.<n>Instead of diffusing every view, 3D-GIMP performs a single generative inpainting on a key reference view, which serves as an appearance prior.<n>We then introduce a 3D-aware PatchMatch algorithm to propagate these reference textures across all remaining views via correspondence matching.
• Score: 11.064669043409177
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Recent advances in 3D scene editing have leveraged iterative diffusion models to update input views. However, this process is computationally expensive and struggles to produce sharp details. Meanwhile, ``hallucination drift'' frequently introduces multi-view inconsistencies, leading to structural artifacts when rendering novel viewpoints. To address this problem, we present 3D-GIMP (3D Gaussian Inpainting Meets Patch Matching), a novel hybrid paradigm designed for high-fidelity object removal in 3D Gaussian Splatting. Instead of diffusing every view, 3D-GIMP performs a single generative inpainting on a key reference view, which serves as an appearance prior. We then introduce a 3D-aware PatchMatch algorithm to propagate these reference textures across all remaining views via correspondence matching, effectively bypassing the stochastic nature of frame-by-frame diffusion. By prioritizing reconstructive consistency over iterative generation, 3D-GIMP maintains high-frequency details across arbitrary resolutions while ensuring a mathematically consistent 3D reconstruction. Our experiments demonstrate that 3D-GIMP not only achieves competitive inpainting quality as previous methods using diffusion in multiple views, but also outperforms these methods in rendering speed and view consistency.

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