If you want to use it too, then you have to send an email and ask for the data - they usually do it very quickly. In this work we used 3D scans from the ScanNet dataset and CAD models from ShapeNetCore (version 2.0). Routines/Script/Annotation2Mesh.py to preview the annotations as seen here (toggle scan/CADs/BBox):ĭata Generation for Scan2CAD Alignment Scan and CAD Repository Once you have downloaded the dataset files, you can run. [, Visualization of the Dataset + BBoxes You will need ScanNet, ShapeNet and Scan2CAD).Ĭopy dataset content into. Get startedĪsk for dataset: (see sections below. We published a new benchmark for CAD model alignment in 3D scans (and more tasks to come) here. 7557 keypoint correspondences between Scan and CAD models. ![]() 97607 keypoint correspondences between Scan and CAD modelsĪn additional annotated hidden testset, that is used for our Scan2CAD benchmark contains:.Get the Scan2CAD dataset - we reply very quickly:) Demo samples Scan2CAD Alignmentsĭataset used in the research project: Scan2CAD: Learning CAD Model Alignment in RGB-D Scansįor the public dataset, we provide annotations with: Link to the annotation webapp source code We present Scan2CAD, a novel data-driven method that learns to align 3D CAD models from a shape database to 3D scans.
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