Papers and codes for 3D Instance Segmentation for Indoor Scenes. ๐
This is an active repository, you can watch for following the latest advances. If you find it useful, please kindly star this repo.
ID | keywords | Institute (first) | Paper | Publication | Others |
---|---|---|---|---|---|
2022-10-06 | Mask3D | RWTH | Mask3d: Mask transformer for 3d semantic instance segmentation | ICRA2023 | github |
2023-03-01 | ISBNet | VinAI | ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution | CVPR2023 | github |
Date | keywords | Institute | Paper | Publication | Others |
---|---|---|---|---|---|
2017-01-14 | ScanNet | Stanford University | ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes | CVPR2017 | github |
2017-09-18 | Matterport3D | Princeton University | Matterport3D: Learning from RGB-D Data in Indoor Environments | 3DV | github |
2019-01-13 | Replica | The Replica dataset: A digital replica of indoor spaces | Arxiv | github | |
2021-11-07 | ARKitScenes | Apple | ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data | Arxiv | github |
2021-09-28 | KITTI-360 | Zhejiang University | KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D | PAMI2021 | project |
2021-11-07 | ScanNet++ | TUM | ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes | CVPR2023 | github |
your contributions are always welcome!
I will keep some pull requests open if I'm not sure if they are awesome for 3D Instance Segmentation, you could vote for them by adding ๐ to them.