HM3D, short for Habitat-Matterport 3D, is an interactive 3D indoor scene dataset containing 1,000 building-scale 3D reconstructions from different real-world locations. Each scene in the dataset consists of a textured 3D mesh reconstruction of the interior, such as multi-story homes, shops, and other private indoor spaces.

Citation

@misc{puig2023habitat3, title = {Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots}, author = { Unnat Jain and Dhruv Batra and Akshara Rai and Roozbeh Mottaghi}, year={2023}, archivePrefix={arXiv}, } @inproceedings{szot2021habitat, title = {Habitat 2.0: Training Home Assistants to Rearrange their Habitat}, author = {Andrew Szot and Alex Clegg and Eric Undersander and Erik Wijmans and Yili Zhao and John Turner and Noah Maestre and Mustafa Mukadam and Devendra Chaplot and Oleksandr Maksymets and Aaron Gokaslan and Vladimir Vondrus and Sameer Dharur and Franziska Meier and Wojciech Galuba and Angel Chang and Zsolt Kira and Vladlen Koltun and Jitendra Malik and Manolis Savva and Dhruv Batra}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2021} } @inproceedings{habitat19iccv, title = {Habitat: {A} {P}latform for {E}mbodied {AI} {R}esearch}, author = {Manolis Savva and Abhishek Kadian and Oleksandr Maksymets and Yili Zhao and Erik Wijmans and Bhavana Jain and Julian Straub and Jia Liu and Vladlen Koltun and Jitendra Malik and Devi Parikh and Dhruv Batra}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, year = {2019} }