DDS combines multi-granularity distillation from projected 2D features with graph diffusion on superpoints to deliver region-consistent semantic labels for 3D scenes without any dense annotations.
Open- vocabulary 3d semantic segmentation with foundation models
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Distill, Diffuse, and Semanticize (DDS): Annotation-Free 3D Scene Understanding Based on Multi-Granularity Distillation and Graph-Diffusion-Based Segmentation
DDS combines multi-granularity distillation from projected 2D features with graph diffusion on superpoints to deliver region-consistent semantic labels for 3D scenes without any dense annotations.