3D Gaussian Inpainting with Depth-Guided Cross-View Consistency
Sheng-Yu Huang, Zi-Ting Chou, Yu-Chiang Frank Wang
2025年份
4顶会引用
摘要
Figure 1. Given multi-view images of a scene and the object masks describing the object to be removed, our 3D Gaussian Inpainting with Depth-Guided Cross-View Consistency produces high-fidelity cross-view inpainting results. Compared with current state-of-the-arts such as SPIn-NeRF [24], Gaussian Grouping [41], and GScream [35], inpainting results of our method not only preserve visible background contents but also exhibit satisfactory consistency across camera views.
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引用它的顶会 Paper4
- OpenVoxel: Training-Free Grouping and Captioning Voxels for Open-Vocabulary 3D Scene UnderstandingSheng-Yu Huang, Jaesung Choe, Yu-Chiang Frank Wang, Cheng SunCVPR 2026 · 被引用 5 次
- GOR-IS: 3D Gaussian Object Removal In the Intrinsic SpaceYonghao Zhao, Yupeng Gao, Jian Yang, Jin Xie 等CVPR 2026 · 被引用 2 次
- LaRP: Efficient Multi-View Inpainting with Latent Reprojection PriorsGaoyang Zhang, Xinguo LiuCVPR 2026
- BEA-GS: BEyond RAdiance Supervision in 3DGS for Precise Object ExtractionAlessio Mazzucchelli, Maria Naranjo-Almeida, Jorge Bustos-Sanchez, Mariella Dimiccoli 等CVPR 2026
它引用的顶会 Paper25
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