{"id":"https://openalex.org/W4385764514","doi":"https://doi.org/10.24963/ijcai.2023/114","title":"WBFlow: Few-shot White Balance for sRGB Images via Reversible Neural Flows","display_name":"WBFlow: Few-shot White Balance for sRGB Images via Reversible Neural Flows","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4385764514","doi":"https://doi.org/10.24963/ijcai.2023/114"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2023/114","is_oa":true,"landing_page_url":"http://dx.doi.org/10.24963/ijcai.2023/114","pdf_url":"https://www.ijcai.org/proceedings/2023/0114.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2023/0114.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100459276","display_name":"Chunxiao Li","orcid":"https://orcid.org/0000-0002-6946-9726"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunxiao Li","raw_affiliation_strings":["Beijing University of Posts and Telecommunications","School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083632340","display_name":"Xuejing Kang","orcid":"https://orcid.org/0000-0002-4088-351X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuejing Kang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications","School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082092902","display_name":"Anlong Ming","orcid":"https://orcid.org/0000-0003-2952-7757"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anlong Ming","raw_affiliation_strings":["Beijing University of Posts and Telecommunications","School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1026","last_page":"1034"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T11666","display_name":"Color Science and Applications","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.996399998664856,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7804166078567505},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.77143394947052},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6587678790092468},{"id":"https://openalex.org/keywords/color-balance","display_name":"Color balance","score":0.5588861703872681},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.5028054714202881},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.24501198530197144},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2081962525844574},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.1876550316810608}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7804166078567505},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.77143394947052},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6587678790092468},{"id":"https://openalex.org/C159784718","wikidata":"https://www.wikidata.org/wiki/Q182571","display_name":"Color balance","level":5,"score":0.5588861703872681},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.5028054714202881},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.24501198530197144},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2081962525844574},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.1876550316810608}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2023/114","is_oa":true,"landing_page_url":"http://dx.doi.org/10.24963/ijcai.2023/114","pdf_url":"https://www.ijcai.org/proceedings/2023/0114.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2023/114","is_oa":true,"landing_page_url":"http://dx.doi.org/10.24963/ijcai.2023/114","pdf_url":"https://www.ijcai.org/proceedings/2023/0114.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385764514.pdf"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W1969294188","https://openalex.org/W2000512760","https://openalex.org/W2088828956","https://openalex.org/W2093580403","https://openalex.org/W2122410868","https://openalex.org/W2146745213","https://openalex.org/W2511760322","https://openalex.org/W2603777577","https://openalex.org/W2739489527","https://openalex.org/W2951979964","https://openalex.org/W2963009255","https://openalex.org/W2981794609","https://openalex.org/W2982143932","https://openalex.org/W3034695079","https://openalex.org/W3043425115","https://openalex.org/W3088489962","https://openalex.org/W3144785864","https://openalex.org/W3160306203","https://openalex.org/W3166595568","https://openalex.org/W3177457352","https://openalex.org/W3183864931","https://openalex.org/W3186568567","https://openalex.org/W4213185264","https://openalex.org/W4283817951","https://openalex.org/W4285604286","https://openalex.org/W4289761690"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"The":[0],"sRGB":[1,13,30,56,85,133,177],"white":[2,53,94],"balance":[3,54],"methods":[4,21],"aim":[5],"to":[6,29,62,72,88,119],"correct":[7],"the":[8,44,74,149],"nonlinear":[9],"color":[10,83],"cast":[11,84],"of":[12,69,76,82,153],"images":[14,31,57,86,134],"without":[15],"accessing":[16],"raw":[17,90,116],"values.":[18],"Although":[19],"existing":[20],"have":[22,108],"achieved":[23],"increasingly":[24],"better":[25],"results,":[26],"their":[27],"generalization":[28,163],"from":[32,135],"multiple":[33,63,175],"cameras":[34,124],"is":[35,181],"still":[36],"under":[37],"explored.":[38],"In":[39],"this":[40,145],"paper,":[41],"we":[42,66,107],"propose":[43],"network":[45],"named":[46],"WBFlow":[47,121,140,159],"that":[48,158],"not":[49],"only":[50],"performs":[51],"superior":[52,99,161],"for":[55,92,122],"but":[58],"also":[59],"generalizes":[60],"well":[61,143,171],"cameras.":[64],"Specifically,":[65],"take":[67],"advantage":[68],"neural":[70],"flow":[71],"ensure":[73],"reversibility":[75],"WBFlow,":[77],"which":[78],"enables":[79],"lossless":[80],"rendering":[81],"back":[87],"pseudo":[89,115],"features":[91],"linear":[93],"balancing":[95],"and":[96,164],"thus":[97],"achieves":[98,160],"performance.":[100],"Furthermore,":[101],"inspired":[102],"by":[103,147],"camera":[104,111,146,150,162,176],"transformation":[105,112],"approaches,":[106],"designed":[109],"a":[110,131],"(CT)":[113],"in":[114],"feature":[117],"space":[118],"generalize":[120],"different":[123],"via":[125],"few":[126,132],"shot":[127],"learning.":[128],"By":[129],"utilizing":[130],"an":[136],"untrained":[137],"camera,":[138],"our":[139,173],"can":[141],"perform":[142],"on":[144,166],"learning":[148],"specific":[151],"parameters":[152],"CT.":[154],"Extensive":[155],"experiments":[156],"show":[157],"accuracy":[165],"three":[167],"public":[168],"datasets":[169],"as":[170,172],"rendered":[174],"dataset.":[178],"Our":[179],"code":[180],"available":[182],"at":[183],"https://github.com/ChunxiaoLe/WBFlow.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}