Research map / 3D vision / 3D generation
Learning 3D Semantic Scene Graphs From 3D Indoor Reconstructions
Check your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| allow multiple predicate labels per object pair instead of single-predicate classification (ablation) | 3DSSG scene graph prediction · 3DSSG | R@3 predicate prediction: 0.42 -> 0.89 | Helped |
| allow multiple predicate labels per object pair instead of single-predicate classification (ablation) | 3DSSG scene graph prediction · 3DSSG | R@50: 0.37 -> 0.40 | Mixed |
| predict object classes from GCN features instead of PointNet features (ablation) | Multi Predicate scene graph predictor · 3DSSG | R@5 object classification: 0.68 -> 0.60 | Hurt |
| add semantic relationships to node-based graph matching (ablation) | 3D-3D scene retrieval with ground-truth graphs · 3D-3D changing-scene retrieval | Top-1: 0.89 -> 0.95 | Helped |
| use Szymkiewicz-Simpson similarity instead of Jaccard similarity (ablation) | 2D-3D scene retrieval with ground-truth graphs · 2D-3D changing-scene retrieval | Top-1: 0.49 -> 0.98 | Helped |
| add semantic relationships to node-only matching with proposed predicted graphs (ablation) | 2D-3D scene retrieval · 2D-3D changing-scene retrieval | Top-1: 0.17 -> 0.13 | Hurt |
| replace the relationship prediction baseline with the proposed multi-predicate graph predictor | 2D-3D scene retrieval using full graph matching · 2D-3D changing-scene retrieval | Top-3: 0.25 -> 0.38 | Helped |
Closest papers by meaning
- Object-Centric Representation Learning for Enhanced 3D Semantic Scene Graph Prediction (NeurIPS 2025 · similarity 0.90)
- Open3DSG: Open-Vocabulary 3D Scene Graphs from Point Clouds with Queryable Objects and Open-Set Relationships (CVPR 2024 · similarity 0.90)
- Open-Vocabulary Functional 3D Scene Graphs for Real-World Indoor Spaces (CVPR 2025 · similarity 0.89)
- SGFormer: Semantic Graph Transformer for Point Cloud-Based 3D Scene Graph Generation (AAAI 2024 · similarity 0.89)
- DSGG: Dense Relation Transformer for an End-to-end Scene Graph Generation (CVPR 2024 · similarity 0.88)
- Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning (CVPR 2024 · similarity 0.88)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
