Research map / 3D vision / 3D generation
DeLay: Robust Spatial Layout Estimation for Cluttered Indoor Scenes
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 |
|---|---|---|---|
| Use DeLay's FCNN belief maps with geometric layout optimization instead of the strongest prior method | Indoor layout estimation · Hedau dataset test | Pixel Error: 12.7 -> 9.73 | Helped |
| Use DeLay's FCNN belief maps with geometric layout optimization instead of the strongest prior method | Indoor layout estimation · LSUN test | Corner Error: 11.02 -> 8.20 | Helped |
| Use DeLay's FCNN belief maps with geometric layout optimization instead of the strongest prior method | Indoor layout estimation · LSUN test | Pixel Error: 16.71 -> 10.63 | Helped |
Closest papers by meaning
- HouseLayout3D: A Benchmark and Training-free Baseline for 3D Layout Estimation in the Wild (NeurIPS 2025 · similarity 0.86)
- CASAGPT: Cuboid Arrangement and Scene Assembly for Interior Design (CVPR 2025 · similarity 0.85)
- No More Ambiguity in 360deg Room Layout via Bi-Layout Estimation (CVPR 2024 · similarity 0.85)
- Rooms from Motion: Un-posed Indoor 3D Object Detection as Localization and Mapping (NeurIPS 2025 · similarity 0.85)
- DeBaRA: Denoising-Based 3D Room Arrangement Generation (NeurIPS 2024 · similarity 0.85)
- Cubify Anything: Scaling Indoor 3D Object Detection (CVPR 2025 · similarity 0.84)
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.