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3D scene understanding datasets
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HM3D #19

Open linukc opened 1 month ago

linukc commented 1 month ago

Matterport and Facebook AI Research are collaborating to release the world's largest dataset of 3D spaces. This is available exclusively for academic, non-commercial uses. The Habitat-Matterport 3D Research Dataset (HM3D) is an unprecedented collection of high-resolution Matterport digital twins made up of residential, commercial, and civic spaces.

The dataset consists of 3D Meshes & Textures of 1,000 Matterport spaces and includes:

Paper Project Code

@inproceedings{ramakrishnan2021hm3d,
  title={Habitat-Matterport 3D Dataset ({HM}3D): 1000 Large-scale 3D Environments for Embodied {AI}},
  author={Santhosh Kumar Ramakrishnan and Aaron Gokaslan and Erik Wijmans and Oleksandr Maksymets and Alexander Clegg and John M Turner and Eric Undersander and Wojciech Galuba and Andrew Westbury and Angel X Chang and Manolis Savva and Yili Zhao and Dhruv Batra},
  booktitle={Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track},
  year={2021},
  url={https://arxiv.org/abs/2109.08238}
}
linukc commented 1 month ago

Instance segmentation from Habitat Matterport 3D Semantics Dataset

@article{yadav2022habitat, 
title={Habitat-Matterport 3D Semantics Dataset}, author={Yadav, Karmesh and Ramrakhya, Ram and Ramakrishnan, Santhosh Kumar and Gervet, Theo and Turner, John and Gokaslan, Aaron and Maestre, Noah and Chang, Angel Xuan and Batra, Dhruv and Savva, Manolis and others}, 
journal={arXiv preprint arXiv:2210.05633}, 
year={2022}, 
url={https://arxiv.org/abs/2210.05633}}