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CVPR2025Top-tier venue

EditSplat: Multi-View Fusion and Attention-Guided Optimization for View-Consistent 3D Scene Editing with 3D Gaussian Splatting

Dong In Lee, Hyeongcheol Park, Jiyoung Seo, Eunbyung Park, Hyunje Park, Hadam Baek, Sangheon Shin, Sangmin Kim, Sangpil Kim

2025Year
16Top-tier citations

Abstract

Source Views "face" "Make his face resemble that of a marble sculpture" "Turn him into a harry potter" "Make the bonsai snowy" "Change the bonsai flowers into autumn leaves" Source Views "bear statue" "Turn the bear statue into a polar bear" "Turn the bear statue into a wild boar" Source Views "lego bonsai" Figure 1 . Result of EditSplat. EditSplat enables flexible and high-quality editing of pre-trained 3D Gaussian Splatting models guided solely by textual instructions. Through its design focused on multi-view consistency, efficient optimization, and precise semantic local editing, Our approach demonstrates robust performance, producing realistic and fine-grained 3D scene modifications.

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