Hypersim is a dataset of realistic 3D scenes with high-resolution textures and dynamic lighting for holistic indoor scene understanding. The dataset contains 77,400 images of 461 indoor scenes with detailed pixel-level annotations and corresponding ground truth geometry.

Citation

@inproceedings{roberts:2021,
author    = {Mike Roberts AND Jason Ramapuram AND Anurag Ranjan AND Atulit Kumar AND
Miguel Angel Bautista AND Nathan Paczan AND Russ Webb AND Joshua M. Susskind},
title     = {{Hypersim}: {A} Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding},
booktitle = {International Conference on Computer Vision (ICCV) 2021},
year      = {2021}
}