{"url":"/dataset/hm3d","name":"HM3D","full_name":"Habitat-Matterport 3D","description_markdown":"**Habitat-Matterport 3D** (HM3D) is a large-scale dataset of 1,000 building-scale 3D reconstructions from a diverse set of real-world locations. Each scene in the dataset consists of a textured 3D mesh reconstruction of interiors such as multi-floor residences, stores, and other private indoor spaces.\r\n\r\nHM3D surpasses existing datasets available for academic research in terms of physical scale, completeness of the reconstruction, and visual fidelity. HM3D contains 112.5k m^2 of navigable space, which is 1.4 - 3.7x larger than other building-scale datasets such as [MP3D](matterport3d) and [Gibson](gibson-environment). When compared to existing photorealistic 3D datasets such as [Replica](replica), MP3D, Gibson, and [ScanNet](scannet), images rendered from HM3D have 20 - 85% higher visual fidelity w.r.t. counterpart images captured with real cameras, and HM3D meshes have 34 - 91% fewer artifacts due to incomplete surface reconstruction.","description_withheld":null,"homepage":"https://github.com/facebookresearch/habitat-lab#HM3D","introduced_date":"2021-09-16","introduced_date_note":null,"introduced_by":{"paper":"/paper/habitat-matterport-3d-dataset-hm3d-1000-large","title":"Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI","first_author":"Santhosh K. Ramakrishnan","url":null},"license":null,"modalities":[{"name":"3D","url":"/datasets/modality/3d"}],"tasks":[],"languages":[],"variants":["HM3D"],"data_loaders":[],"num_papers_in_archive":96,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}