A framework for robust 3D segmentation in editable Gaussian Splatting that combines SAM-HQ masks with prior-guided multiview-consistent label assignment to 3D Gaussians.
Experimental Settings Datasets and Metrics:We evaluate the performance on datasets containing synthetic and real-world scenes such as LeRF [15], Mip-NeRF [16] and LLFF [2, 6]
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Robust Prior-Guided Segmentation for Editable 3D Gaussian Splatting
A framework for robust 3D segmentation in editable Gaussian Splatting that combines SAM-HQ masks with prior-guided multiview-consistent label assignment to 3D Gaussians.