{"url":"/dataset/eth-sfm","name":"ETH SfM","full_name":"ETH Structure-from-Motion","description_markdown":"The **ETH SfM** (structure-from-motion) dataset is a dataset for 3D Reconstruction. The benchmark investigates how different methods perform in terms of building a 3D model from a set of available 2D images.\n\nSource: [SOSNet: Second Order Similarity Regularization forLocal Descriptor Learning](https://arxiv.org/abs/1904.05019)\nImage Source: [https://cvg.ethz.ch/research/symmetries-in-sfm/](https://cvg.ethz.ch/research/symmetries-in-sfm/)","description_withheld":null,"homepage":"https://cvg.ethz.ch/research/symmetries-in-sfm/","introduced_date":"2017-01-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/comparative-evaluation-of-hand-crafted-and-1","title":"Comparative Evaluation of Hand-Crafted and Learned Local Features","first_author":"Johannes L. Sch¨onberger","url":null},"license":null,"modalities":[{"name":"3D","url":"/datasets/modality/3d"}],"tasks":[{"name":"Image Retrieval","url":"/task/image-retrieval","datasets_with_task":"/datasets/task/image-retrieval"},{"name":"3D Reconstruction","url":"/task/3d-reconstruction","datasets_with_task":"/datasets/task/3d-reconstruction"},{"name":"Patch Matching","url":"/task/patch-matching","datasets_with_task":"/datasets/task/patch-matching"}],"languages":[],"variants":["ETH SfM"],"data_loaders":[],"num_papers_in_archive":8,"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."}