Object Neural Field Registration (ONR) Dataset

The Object Neural Field Registration (ONR) Dataset is a dataset of raw data and pre-trained 3D neural field models for conducting neural field registration experiments. This is a simulated data benchmark for calculating the pose of objects within a scene using only neural field model representations of both. Data consists of simulated RGB+Depth images, instance segmentation images, object instance poses, camera poses, and trained neural field models designed to work within the sdfstudio framework.