| Full name | ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes |
| Description | 2D projections of 3D semantic segmentation predictions |
| Publication title | ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes |
| Publication authors | Angela Dai, Angel X. Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, Matthias Nießner |
| Publication venue | CVPR'17 |
| Publication URL | http://www.scan-net.org/ |
| Input Data Types | Uses Geometry Uses 3D |
| Programming language(s) | pytorch |
| Hardware | GTX 1080 |
| Website | http://www.scan-net.org/ |
| Source code or download URL | https://github.com/scannet/scannet |
| Submission creation date | 13 Jul, 2018 |
| Last edited | 20 Jul, 2018 |
