The data must be processed such that scans are represented as sdf and CADs as df voxel grids as illustrated here (see in. Voxelization of Data as Signed Distance Function (sdf) and unsigned Distance Function (df) files 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.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |