{"url":"/dataset/blendedmvs","name":"BlendedMVS","full_name":null,"description_markdown":"**BlendedMVS** is a novel large-scale dataset, to provide sufficient training ground truth for learning-based MVS. The dataset was created by applying a 3D reconstruction pipeline to recover high-quality textured meshes from images of well-selected scenes. Then, these mesh models were rendered to color images and depth maps. \r\n\r\nSource: [BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks](/paper/blendedmvs-a-large-scale-dataset-for)","description_withheld":null,"homepage":"https://github.com/YoYo000/BlendedMVS","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/blendedmvs-a-large-scale-dataset-for","title":"BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks","first_author":"Yao Yao","url":null},"license":{"name":"Creative Commons Attribution 4.0 International License","url":"https://creativecommons.org/licenses/by/4.0/"},"modalities":[],"tasks":[{"name":"Meta-Learning","url":"/task/meta-learning","datasets_with_task":"/datasets/task/meta-learning"},{"name":"3D Reconstruction","url":"/task/3d-reconstruction","datasets_with_task":"/datasets/task/3d-reconstruction"},{"name":"Novel View Synthesis","url":"/task/novel-view-synthesis","datasets_with_task":"/datasets/task/novel-view-synthesis"}],"languages":[],"variants":["BlendedMVS"],"data_loaders":[{"repo":"https://github.com/YoYo000/BlendedMVS","url":"https://github.com/YoYo000/BlendedMVS","frameworks":["tf"]}],"num_papers_in_archive":105,"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."}