{"url":"/dataset/haze4k","name":"Haze4k","full_name":null,"description_markdown":"**Haze4k** is a synthesized dataset with 4,000 hazy images, in which each hazy image has the associate ground truths of a latent clean image, a transmission map, and an atmospheric light ma","description_withheld":null,"homepage":"https://github.com/liuye123321/DMT-Net","introduced_date":"2021-08-06","introduced_date_note":null,"introduced_by":{"paper":"/paper/from-synthetic-to-real-image-dehazing","title":"From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data","first_author":"Ye Liu","url":null},"license":null,"modalities":[],"tasks":[{"name":"Image Dehazing","url":"/task/image-dehazing","datasets_with_task":"/datasets/task/image-dehazing"}],"languages":[],"variants":["Haze4k"],"data_loaders":[],"num_papers_in_archive":27,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-dehazing-on-haze4k","task":"Image Dehazing","dataset_variant":"Haze4k","rows":11,"metrics":["PSNR","SSIM"],"first_row_in_archive_order":{"model":"CasDyF-Net","paper":"/paper/casdyf-net-image-dehazing-via-cascaded","metrics":{"PSNR":"35.73","SSIM":"0.99"},"code_links":[{"title":"dauing/casdyf-net","url":"https://github.com/dauing/casdyf-net"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/casdyf-net-image-dehazing-via-cascaded","title":"CasDyF-Net: Image Dehazing via Cascaded Dynamic Filters","date":"2024-09-13","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/revitalizing-convolutional-network-for-image","title":"Revitalizing Convolutional Network for Image Restoration","date":"2024-06-25","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/image-restoration-via-frequency-selection","title":"Image Restoration via Frequency Selection","date":"2023-11-06","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/mixdehazenet-mix-structure-block-for-image","title":"MixDehazeNet : Mix Structure Block For Image Dehazing Network","date":"2023-05-28","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/dea-net-single-image-dehazing-based-on-detail","title":"DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention","date":"2023-01-12","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/rethinking-performance-gains-in-image","title":"Rethinking Performance Gains in Image Dehazing Networks","date":"2022-09-23","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/perceiving-and-modeling-density-is-all-you","title":"Perceiving and Modeling Density is All You Need for Image Dehazing","date":"2021-11-18","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/from-synthetic-to-real-image-dehazing","title":"From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data","date":"2021-08-06","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/multi-scale-boosted-dehazing-network-with","title":"Multi-Scale Boosted Dehazing Network with Dense Feature Fusion","date":"2020-04-28","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/ffa-net-feature-fusion-attention-network-for","title":"FFA-Net: Feature Fusion Attention Network for Single Image Dehazing","date":"2019-11-18","rows_on_this_dataset":1,"code_links":4,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":11,"samples_ran":0,"samples_unverified":11,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/griddehazenet-attention-based-multi-scale","title":"GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing","date":"2019-08-08","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":11,"samples_ran":0,"samples_unverified":11,"pointer_only_for_licence":0,"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."}