GAGS achieves strong open-vocabulary 3D localization and segmentation by using depth-aware SAM prompting and an unsupervised granularity factor to distill consistent CLIP features into a single Gaussian feature field.
Scanrefer: 3d object localization in rgb-d scans using natural language
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GAGS: Granularity-Aware Feature Distillation for Language Gaussian Splatting
GAGS achieves strong open-vocabulary 3D localization and segmentation by using depth-aware SAM prompting and an unsupervised granularity factor to distill consistent CLIP features into a single Gaussian feature field.