LabelGS assigns 2D video-tracking labels to the most-contributing 3D Gaussians, with depth-based occlusion masking and a projection filter, reporting better mIoU/PSNR than Feature-3DGS with roughly 22x faster training.
In: ICCV (2023)
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LabelGS: Label-Aware 3D Gaussian Splatting for 3D Scene Segmentation
LabelGS assigns 2D video-tracking labels to the most-contributing 3D Gaussians, with depth-based occlusion masking and a projection filter, reporting better mIoU/PSNR than Feature-3DGS with roughly 22x faster training.