{"url":"/dataset/burstsr","name":"BurstSR","full_name":null,"description_markdown":"BurstSR is a dataset consisting of smartphone bursts and high-resolution DSLR ground-truth","description_withheld":null,"homepage":"https://github.com/goutamgmb/deep-burst-sr","introduced_date":"2021-04-15","introduced_date_note":null,"introduced_by":{"paper":"/paper/deep-burst-super-resolution","title":"Deep Burst Super-Resolution","first_author":"Goutam Bhat","url":null},"license":null,"modalities":[],"tasks":[{"name":"Burst Image Super-Resolution","url":"/task/burst-image-super-resolution","datasets_with_task":"/datasets/task/burst-image-super-resolution"},{"name":"Multi-Frame Super-Resolution","url":"/task/multi-frame-super-resolution","datasets_with_task":"/datasets/task/multi-frame-super-resolution"}],"languages":[],"variants":["BurstSR"],"data_loaders":[],"num_papers_in_archive":22,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/burst-image-super-resolution-on-burstsr","task":"Burst Image Super-Resolution","dataset_variant":"BurstSR","rows":9,"metrics":["PSNR","SSIM","LPIPS"],"first_row_in_archive_order":{"model":"BurstM","paper":"/paper/burstm-deep-burst-multi-scale-sr-using","metrics":{"PSNR":"49.12","SSIM":"0.987"},"code_links":[{"title":"egkang-luis/burstm","url":"https://github.com/egkang-luis/burstm"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/burstm-deep-burst-multi-scale-sr-using","title":"BurstM: Deep Burst Multi-scale SR using Fourier Space with Optical Flow","date":"2024-09-21","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/simple-base-frame-guided-residual-network-for","title":"Simple Base Frame Guided Residual Network for RAW Burst Image Super-Resolution","date":"2024-02-27","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/bsrt-improving-burst-super-resolution-with","title":"BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable Alignment","date":"2022-04-18","rows_on_this_dataset":2,"code_links":1,"syntology":{"read_at":"2026-09-25T09:33:49+00:00","samples_harvested":13,"samples_ran":9,"samples_unverified":4,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/kernel-aware-raw-burst-blind-super-resolution","title":"Kernel-aware Burst Blind Super-Resolution","date":"2021-12-14","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/burst-image-restoration-and-enhancement","title":"Burst Image Restoration and Enhancement","date":"2021-10-07","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/deep-reparametrization-of-multi-frame-super","title":"Deep Reparametrization of Multi-Frame Super-Resolution and Denoising","date":"2021-08-18","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/ebsr-feature-enhanced-burst-super-resolution","title":"EBSR: Feature Enhanced Burst Super-Resolution With Deformable Alignment","date":"2021-06-15","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/deep-burst-super-resolution","title":"Deep Burst Super-Resolution","date":"2021-01-26","rows_on_this_dataset":1,"code_links":3,"syntology":{"read_at":"2026-09-25T09:33:49+00:00","samples_harvested":7,"samples_ran":6,"samples_unverified":1,"pointer_only_for_licence":7,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":2,"samples_harvested":20,"samples_ran":15,"samples_unverified":5,"pointer_only_for_licence":7,"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."}