{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/real-world-image-dehazing-with-coherence","title":"Real-world Image Dehazing with Coherence-based Pseudo Labeling and Cooperative Unfolding Network","arxiv_id":"2406.07966","date":"2024-06-12","proceeding":null,"authors":["Chengyu Fang","Chunming He","Fengyang Xiao","Yulun Zhang","Longxiang Tang","Yuelin Zhang","Kai Li","Xiu Li"],"abstract":"Real-world Image Dehazing (RID) aims to alleviate haze-induced degradation in real-world settings. This task remains challenging due to the complexities in accurately modeling real haze distributions and the scarcity of paired real-world data. To address these challenges, we first introduce a cooperative unfolding network that jointly models atmospheric scattering and image scenes, effectively integrating physical knowledge into deep networks to restore haze-contaminated details. Additionally, we propose the first RID-oriented iterative mean-teacher framework, termed the Coherence-based Label Generator, to generate high-quality pseudo labels for network training. Specifically, we provide an optimal label pool to store the best pseudo-labels during network training, leveraging both global and local coherence to select high-quality candidates and assign weights to prioritize haze-free regions. We verify the effectiveness of our method, with experiments demonstrating that it achieves state-of-the-art performance on RID tasks. Code will be available at \\url{https://github.com/cnyvfang/CORUN-Colabator}.","url_abs":"https://arxiv.org/abs/2406.07966v5","url_pdf":"https://arxiv.org/pdf/2406.07966v5.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"real-world-image-dehazing-with-coherence","repo_url":"https://github.com/cnyvfang/corun-colabator","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}}],"tasks":[{"task_slug":"image-dehazing","task_name":"Image Dehazing"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/2406.07966","atlas_url":"https://app.syntology.ai/?focus=2406.07966","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2406.07966"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-25T09:33:49+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"deterministic:regex_extraction","url":"https://github.com/cnyvfang/CORUN-Colabator","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/cnyvfang/corun-colabator","reach":{"status":"ok"}}],"summary":{"ran":6,"ran_fixture":4,"ran_draft_wrong":3,"unverified":2},"by_repo_kind":{"official":{"samples":15,"ran":13,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":15,"samples":[{"code_sha256_prefix":"8287ed656ac9641d","entry":"MSAB","repo":"cnyvfang/corun-colabator","repo_kind":"official","path":"corun_colabator/archs/corun_arch.py","file_url":"https://github.com/cnyvfang/corun-colabator/blob/HEAD/corun_colabator/archs/corun_arch.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"8287ed656ac9641d"}},{"code_sha256_prefix":"d723e3e29bb7d0f7","entry":"MST","repo":"cnyvfang/corun-colabator","repo_kind":"official","path":"corun_colabator/archs/corun_arch.py","file_url":"https://github.com/cnyvfang/corun-colabator/blob/HEAD/corun_colabator/archs/corun_arch.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"d723e3e29bb7d0f7"}},{"code_sha256_prefix":"de928acca431447c","entry":"MS_MSA","repo":"cnyvfang/corun-colabator","repo_kind":"official","path":"corun_colabator/archs/corun_arch.py","file_url":"https://github.com/cnyvfang/corun-colabator/blob/HEAD/corun_colabator/archs/corun_arch.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"de928acca431447c"}},{"code_sha256_prefix":"778c1df603a0e82b","entry":"ProximalDehazingBlock","repo":"cnyvfang/corun-colabator","repo_kind":"official","path":"corun_colabator/archs/corun_arch.py","file_url":"https://github.com/cnyvfang/corun-colabator/blob/HEAD/corun_colabator/archs/corun_arch.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"778c1df603a0e82b"}},{"code_sha256_prefix":"848c0d2551955ef3","entry":"ProximalTransmissionBlock","repo":"cnyvfang/corun-colabator","repo_kind":"official","path":"corun_colabator/archs/corun_arch.py","file_url":"https://github.com/cnyvfang/corun-colabator/blob/HEAD/corun_colabator/archs/corun_arch.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"848c0d2551955ef3"}},{"code_sha256_prefix":"7eb8f921afc80af3","entry":"_no_grad_trunc_normal_","repo":"cnyvfang/corun-colabator","repo_kind":"official","path":"corun_colabator/archs/corun_arch.py","file_url":"https://github.com/cnyvfang/corun-colabator/blob/HEAD/corun_colabator/archs/corun_arch.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"7eb8f921afc80af3"}},{"code_sha256_prefix":"013ca1b768620edd","entry":"conv","repo":"cnyvfang/CORUN-Colabator","repo_kind":"official","path":"corun_colabator/archs/corun_arch.py","file_url":"https://github.com/cnyvfang/CORUN-Colabator/blob/HEAD/corun_colabator/archs/corun_arch.py","link_basis":"plan_row","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"013ca1b768620edd"}},{"code_sha256_prefix":"ef9faf68f492a375","entry":"flow_warp","repo":"cnyvfang/CORUN-Colabator","repo_kind":"official","path":"corun_colabator/archs/arch_util.py","file_url":"https://github.com/cnyvfang/CORUN-Colabator/blob/HEAD/corun_colabator/archs/arch_util.py","link_basis":"harvester_set","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"ef9faf68f492a375"}},{"code_sha256_prefix":"cd569444547de84f","entry":"get_position_from_periods","repo":"cnyvfang/CORUN-Colabator","repo_kind":"official","path":"corun_colabator/models/lr_scheduler.py","file_url":"https://github.com/cnyvfang/CORUN-Colabator/blob/HEAD/corun_colabator/models/lr_scheduler.py","link_basis":"harvester_set","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"cd569444547de84f"}},{"code_sha256_prefix":"96ad5dc9ca239aec","entry":"make_layer","repo":"cnyvfang/CORUN-Colabator","repo_kind":"official","path":"corun_colabator/archs/arch_util.py","file_url":"https://github.com/cnyvfang/CORUN-Colabator/blob/HEAD/corun_colabator/archs/arch_util.py","link_basis":"harvester_set","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"96ad5dc9ca239aec"}},{"code_sha256_prefix":"5a1d8458dc7077a6","entry":"resize_flow","repo":"cnyvfang/CORUN-Colabator","repo_kind":"official","path":"corun_colabator/archs/arch_util.py","file_url":"https://github.com/cnyvfang/CORUN-Colabator/blob/HEAD/corun_colabator/archs/arch_util.py","link_basis":"harvester_set","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"5a1d8458dc7077a6"}},{"code_sha256_prefix":"d8d6ba766e739efd","entry":"shift_back","repo":"cnyvfang/CORUN-Colabator","repo_kind":"official","path":"corun_colabator/archs/corun_arch.py","file_url":"https://github.com/cnyvfang/CORUN-Colabator/blob/HEAD/corun_colabator/archs/corun_arch.py","link_basis":"plan_row","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"d8d6ba766e739efd"}},{"code_sha256_prefix":"056f371660385ea5","entry":"trunc_normal_","repo":"cnyvfang/corun-colabator","repo_kind":"official","path":"corun_colabator/archs/corun_arch.py","file_url":"https://github.com/cnyvfang/corun-colabator/blob/HEAD/corun_colabator/archs/corun_arch.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"056f371660385ea5"}},{"code_sha256_prefix":"1ac7c39e6eae873d","entry":"Basic_block_fix_Plus","repo":"cnyvfang/corun-colabator","repo_kind":"official","path":"corun_colabator/archs/corun_arch.py","file_url":"https://github.com/cnyvfang/corun-colabator/blob/HEAD/corun_colabator/archs/corun_arch.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"1ac7c39e6eae873d"}},{"code_sha256_prefix":"fac7e90412986db2","entry":"CORUN","repo":"cnyvfang/corun-colabator","repo_kind":"official","path":"corun_colabator/archs/corun_arch.py","file_url":"https://github.com/cnyvfang/corun-colabator/blob/HEAD/corun_colabator/archs/corun_arch.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"fac7e90412986db2"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}