3 datasets found

Rel3D is a large-scale dataset of human-annotated spatial relations in 3D. It consists of spatial relations situated in synthetic 3D scenes, making it possible to extract rich...

A dataset of volumetric point clouds for training an autoencoder for point clouds, consisting of four types of point clouds: encapsulated spheres, encapsulated cuboids,...

The dataset used in the paper is the DVGO dataset, which contains 3D scenes and is used for training and testing the proposed neural radiance field model.