ScanNet++

ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes

ScanNet++ is a large scale dataset with 450+ 3D indoor scenes containing sub-millimeter resolution laser scans, registered 33-megapixel DSLR images, and commodity RGB-D streams from iPhone. The 3D reconstructions are annotated with long-tail and label-ambiguous semantics to benchmark semantic understanding methods, while the coupled DSLR and iPhone captures enable benchmarking of novel view synthesis methods in high-quality and commodity settings.

벤치마크

3D Semantic Segmentation on ScanNet++ 결과 24개

3D Object Detection on ScanNet++ 결과 18개

3D Instance Segmentation on ScanNet++ 결과 6개

Point Cloud Registration on ScanNet++ (trained on 3DMatch) 결과 6개

Novel View Synthesis on ScanNet++ 결과 4개

on ScanNet++ 결과 1개