3 papers
cs.CV2026
SaaF: Scene-Specific Ambiguity-Aware 3D Language Fields towards Interactive Real-World Object Retrieval
Yuga Yano, Daiju Kanaoka, Hakaru Tamukoh +1
We propose Scene-specific Ambiguity-aware 3D Language Fields (SaaF), a novel Gaussian Splatting-based 3D language field designed for interactive object retrieval in a given real-wo…
cs.CV2025
Class-agnostic 3D Segmentation by Granularity-Consistent Automatic 2D Mask Tracking
Juan Wang, Yasutomo Kawanishi, Tomo Miyazaki +2
3D instance segmentation is an important task for real-world applications. To avoid costly manual annotations, existing methods have explored generating pseudo labels by transferri…
cs.CV2025
FROSS: Faster-than-Real-Time Online 3D Semantic Scene Graph Generation from RGB-D Images
Hao-Yu Hou, Chun-Yi Lee, Motoharu Sonogashira +1
The ability to abstract complex 3D environments into simplified and structured representations is crucial across various domains. 3D semantic scene graphs (SSGs) achieve this by re…