Two new research papers introduce novel frameworks for generating open-vocabulary 3D scene graphs. The first, RelWitness, addresses incomplete supervision by using visual-geometric cues to verify relations between objects. The second, a hierarchical and holistic approach, anchors functional edges from 2D visual evidence and optimizes them through temporal graph processing for indoor spaces. Both methods aim to improve the accuracy and completeness of 3D scene understanding for applications in robotics and scene analysis. AI
影响 Advances in 3D scene understanding and representation for robotics and scene analysis.
排序理由 Two academic papers published on arXiv detailing new methods for 3D scene graph generation.
- arXiv
- Functional 3D Scene Graphs
- 2D visual grounding
- 3D graph optimization
- 3D scene graph generation
- 3DSSG/3RScan
- RelWitness
- RGB-D sequences
- RGB views
- ScanNet
AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →
