Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding

2 code implementations • ICCV 2021 • Mike Roberts, Jason Ramapuram, Anurag Ranjan, Atulit Kumar, Miguel Angel Bautista, Nathan Paczan, Russ Webb, Joshua M. Susskind

To create our dataset, we leverage a large repository of synthetic scenes created by professional artists, and we generate 77, 400 images of 461 indoor scenes with detailed per-pixel labels and corresponding ground truth geometry.

Multi-Task Learning Scene Understanding +1