{"url":"/dataset/sparf","name":"SPARF","full_name":null,"description_markdown":"**SPARF** is a large-scale ShapeNet-based synthetic dataset for novel view synthesis consisting of ~17 million images rendered from nearly 40,000 shapes at high resolution (400×400 pixels).\r\n\r\nSource: [SPARF: Large-Scale Learning of 3D Sparse Radiance Fields from Few Input Images](https://arxiv.org/pdf/2212.09100v1.pdf)\r\n\r\nImage Source: [https://github.com/ajhamdi/sparf_pytorch](https://github.com/ajhamdi/sparf_pytorch)","description_withheld":null,"homepage":"https://abdullahamdi.com/sparf/","introduced_date":"2022-12-18","introduced_date_note":null,"introduced_by":{"paper":"/paper/sparf-large-scale-learning-of-3d-sparse","title":"SPARF: Large-Scale Learning of 3D Sparse Radiance Fields from Few Input Images","first_author":"Abdullah Hamdi","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Novel View Synthesis","url":"/task/novel-view-synthesis","datasets_with_task":"/datasets/task/novel-view-synthesis"}],"languages":[],"variants":["SPARF"],"data_loaders":[],"num_papers_in_archive":2,"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."}