{"id":"https://openalex.org/W4415535463","doi":"https://doi.org/10.1145/3746027.3758196","title":"WeatherBench: A Real-World Benchmark Dataset for All-in-One Adverse Weather Image Restoration","display_name":"WeatherBench: A Real-World Benchmark Dataset for All-in-One Adverse Weather Image Restoration","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W4415535463","doi":"https://doi.org/10.1145/3746027.3758196"},"language":null,"primary_location":{"id":"doi:10.1145/3746027.3758196","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3758196","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Qiyuan Guan","orcid":"https://orcid.org/0009-0001-8557-1560"},"institutions":[{"id":"https://openalex.org/I88372448","display_name":"Dalian Polytechnic University","ror":"https://ror.org/00c7x4a95","country_code":"CN","type":"education","lineage":["https://openalex.org/I88372448"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiyuan Guan","raw_affiliation_strings":["Dalian Polytechnic University, Dalian, China"],"raw_orcid":"https://orcid.org/0009-0001-8557-1560","affiliations":[{"raw_affiliation_string":"Dalian Polytechnic University, Dalian, China","institution_ids":["https://openalex.org/I88372448"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100580454","display_name":"Qianfeng Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I88372448","display_name":"Dalian Polytechnic University","ror":"https://ror.org/00c7x4a95","country_code":"CN","type":"education","lineage":["https://openalex.org/I88372448"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianfeng Yang","raw_affiliation_strings":["Dalian Polytechnic University, Dalian, China"],"raw_orcid":"https://orcid.org/0009-0008-7575-7207","affiliations":[{"raw_affiliation_string":"Dalian Polytechnic University, Dalian, China","institution_ids":["https://openalex.org/I88372448"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100441944","display_name":"Xiang Chen","orcid":"https://orcid.org/0000-0002-8966-8159"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Chen","raw_affiliation_strings":["Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-8966-8159","affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004992826","display_name":"Tianyu Song","orcid":"https://orcid.org/0000-0002-5546-2363"},"institutions":[{"id":"https://openalex.org/I4210092944","display_name":"Dalian University","ror":"https://ror.org/00g2ypp58","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092944"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyu Song","raw_affiliation_strings":["Dalian Martime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-5546-2363","affiliations":[{"raw_affiliation_string":"Dalian Martime University, Dalian, China","institution_ids":["https://openalex.org/I4210092944"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011847931","display_name":"Guiyue Jin","orcid":"https://orcid.org/0000-0002-8267-7052"},"institutions":[{"id":"https://openalex.org/I88372448","display_name":"Dalian Polytechnic University","ror":"https://ror.org/00c7x4a95","country_code":"CN","type":"education","lineage":["https://openalex.org/I88372448"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guiyue Jin","raw_affiliation_strings":["Dalian Polytechnic University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-8267-7052","affiliations":[{"raw_affiliation_string":"Dalian Polytechnic University, Dalian, China","institution_ids":["https://openalex.org/I88372448"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020383387","display_name":"Jiyu Jin","orcid":"https://orcid.org/0000-0003-3607-0003"},"institutions":[{"id":"https://openalex.org/I88372448","display_name":"Dalian Polytechnic University","ror":"https://ror.org/00c7x4a95","country_code":"CN","type":"education","lineage":["https://openalex.org/I88372448"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiyu Jin","raw_affiliation_strings":["Dalian Polytechnic University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0003-3607-0003","affiliations":[{"raw_affiliation_string":"Dalian Polytechnic University, Dalian, China","institution_ids":["https://openalex.org/I88372448"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.8954,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.98405912,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"12607","last_page":"12613"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7603999972343445},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.7508000135421753},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.6344000101089478},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.605400025844574},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5040000081062317},{"id":"https://openalex.org/keywords/adverse-weather","display_name":"Adverse weather","score":0.4487000107765198}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7603999972343445},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.7508000135421753},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.6344000101089478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6159999966621399},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.605400025844574},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5040000081062317},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49410000443458557},{"id":"https://openalex.org/C2992147540","wikidata":"https://www.wikidata.org/wiki/Q1277161","display_name":"Adverse weather","level":2,"score":0.4487000107765198},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44279998540878296},{"id":"https://openalex.org/C512654426","wikidata":"https://www.wikidata.org/wiki/Q19652","display_name":"Public domain","level":2,"score":0.43619999289512634},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42100000381469727},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.39660000801086426},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33489999175071716},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.29919999837875366},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.2768000066280365},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.2694999873638153},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.257099986076355}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746027.3758196","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3758196","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W3185395802","https://openalex.org/W4317496742","https://openalex.org/W4393150030"],"related_works":[],"abstract_inverted_index":{"Existing":[0],"all-in-one":[1,60,80,138,155],"image":[2,83,89,156],"restoration":[3,62,84,139,157],"approaches,":[4],"which":[5,87],"aim":[6],"to":[7,39],"handle":[8],"multiple":[9],"weather":[10,61,82,94],"degradations":[11],"within":[12],"a":[13,57,65,78,132,147],"single":[14],"framework,":[15],"are":[16],"predominantly":[17],"trained":[18],"and":[19,35,47,99,107,117,123,137,153,167],"evaluated":[20],"using":[21],"mixed":[22],"single-weather":[23],"synthetic":[24],"datasets.":[25],"However,":[26],"these":[27,74],"datasets":[28],"often":[29],"differ":[30],"significantly":[31],"in":[32,68,158],"resolution,":[33],"style,":[34],"domain":[36,41],"characteristics,":[37],"leading":[38],"substantial":[40],"gaps":[42],"that":[43],"hinder":[44],"the":[45,54],"development":[46],"fair":[48],"evaluation":[49],"of":[50,56,134],"unified":[51],"models.":[52],"Furthermore,":[53],"lack":[55],"large-scale,":[58],"real-world":[59,79,159],"dataset":[63,112,145,162],"remains":[64],"critical":[66],"bottleneck":[67],"advancing":[69,151],"this":[70],"field.":[71],"To":[72],"address":[73],"limitations,":[75],"we":[76],"present":[77],"adverse":[81],"benchmark":[85],"dataset,":[86],"contains":[88],"pairs":[90],"captured":[91],"under":[92],"various":[93],"conditions,":[95],"including":[96],"rain,":[97],"snow,":[98],"haze,":[100],"as":[101,103],"well":[102],"diverse":[104],"outdoor":[105],"scenes":[106],"illumination":[108],"settings.":[109],"The":[110,161],"resulting":[111],"provides":[113],"precisely":[114],"aligned":[115],"degraded":[116],"clean":[118],"images,":[119],"enabling":[120],"supervised":[121],"learning":[122],"rigorous":[124],"evaluation.":[125],"We":[126],"conduct":[127],"comprehensive":[128],"experiments":[129],"by":[130],"benchmarking":[131],"variety":[133],"task-specific,":[135],"task-general,":[136],"methods":[140],"on":[141],"our":[142],"dataset.":[143],"Our":[144],"offers":[146],"valuable":[148],"foundation":[149],"for":[150],"robust":[152],"practical":[154],"scenarios.":[160],"has":[163],"been":[164],"publicly":[165],"released":[166],"is":[168],"available":[169],"at":[170],"https://github.com/guanqiyuan/WeatherBench.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-25T00:00:00"}
