{"url":"/dataset/div2krk","name":"DIV2KRK","full_name":"DIV2K Random Kernel","description_markdown":"Using the validation set (100 images) from the widely used DIV2K dataset, we blurred and subsampled each image with a different, randomly generated kernel. Kernels were 11x11 anisotropic gaussians with random lengths λ1, λ2∼U(0.6, 5) independently distributed for each axis, rotated by a random angle θ∼U[−π, π].","description_withheld":null,"homepage":"https://www.wisdom.weizmann.ac.il/~vision/kernelgan/","introduced_date":"2019-09-14","introduced_date_note":null,"introduced_by":{"paper":"/paper/blind-super-resolution-kernel-estimation","title":"Blind Super-Resolution Kernel Estimation using an Internal-GAN","first_author":"Sefi Bell-Kligler","url":null},"license":null,"modalities":[],"tasks":[{"name":"Blind Super-Resolution","url":"/task/blind-super-resolution","datasets_with_task":"/datasets/task/blind-super-resolution"}],"languages":[],"variants":["DIV2KRKx2","DIV2KRKx4","DIV2KRK - 2x upscaling","DIV2KRK - 4x upscaling","DIV2KRK"],"data_loaders":[],"num_papers_in_archive":26,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/blind-super-resolution-on-div2krk-4x","task":"Blind Super-Resolution","dataset_variant":"DIV2KRK - 4x upscaling","rows":6,"metrics":["PSNR","SSIM"],"first_row_in_archive_order":{"model":"DCLS","paper":"/paper/deep-constrained-least-squares-for-blind","metrics":{"PSNR":"28.99","SSIM":"0.7946"},"code_links":[{"title":"megvii-research/dcls-sr","url":"https://github.com/megvii-research/dcls-sr"},{"title":"algolzw/dcls","url":"https://github.com/algolzw/dcls"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/blind-super-resolution-on-div2krk-2x","task":"Blind Super-Resolution","dataset_variant":"DIV2KRK - 2x upscaling","rows":5,"metrics":["PSNR","SSIM"],"first_row_in_archive_order":{"model":"DCLS","paper":"/paper/deep-constrained-least-squares-for-blind","metrics":{"PSNR":"32.75","SSIM":"0.9094"},"code_links":[{"title":"megvii-research/dcls-sr","url":"https://github.com/megvii-research/dcls-sr"},{"title":"algolzw/dcls","url":"https://github.com/algolzw/dcls"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/unsupervised-blur-kernel-estimation-and","title":"Unsupervised Blur Kernel Estimation and Correction for Blind Super-Resolution","date":"2022-04-25","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/deep-constrained-least-squares-for-blind","title":"Deep Constrained Least Squares for Blind Image Super-Resolution","date":"2022-02-15","rows_on_this_dataset":2,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":6,"samples_ran":0,"samples_unverified":6,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/pixel-level-kernel-estimation-for-blind-super","title":"Pixel-Level Kernel Estimation for Blind Super-Resolution","date":"2021-11-15","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/tackling-the-ill-posedness-of-super","title":"Tackling the Ill-Posedness of Super-Resolution Through Adaptive Target Generation","date":"2021-06-19","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/end-to-end-alternating-optimization-for-blind","title":"End-to-end Alternating Optimization for Blind Super Resolution","date":"2021-05-14","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/koalanet-blind-super-resolution-using-kernel","title":"KOALAnet: Blind Super-Resolution using Kernel-Oriented Adaptive Local Adjustment","date":"2020-12-15","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/unfolding-the-alternating-optimization-for","title":"Unfolding the Alternating Optimization for Blind Super Resolution","date":"2020-10-06","rows_on_this_dataset":2,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":5,"samples_ran":5,"samples_unverified":0,"pointer_only_for_licence":5,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/blind-super-resolution-kernel-estimation","title":"Blind Super-Resolution Kernel Estimation using an Internal-GAN","date":"2019-09-14","rows_on_this_dataset":1,"code_links":4,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":12,"samples_ran":5,"samples_unverified":7,"pointer_only_for_licence":3,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":3,"samples_harvested":23,"samples_ran":10,"samples_unverified":13,"pointer_only_for_licence":8,"papers_with_no_sample_that_ran":1,"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."}