{"id":"https://openalex.org/W7131186021","doi":"https://doi.org/10.1109/iccvw69036.2025.00410","title":"Learning Camera-Agnostic White-Balance Preferences","display_name":"Learning Camera-Agnostic White-Balance Preferences","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W7131186021","doi":"https://doi.org/10.1109/iccvw69036.2025.00410"},"language":null,"primary_location":{"id":"doi:10.1109/iccvw69036.2025.00410","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw69036.2025.00410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)","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":"https://openalex.org/A5023170509","display_name":"Luxi Zhao","orcid":"https://orcid.org/0000-0002-4434-8004"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Luxi Zhao","raw_affiliation_strings":["Samsung Electronics,AI Center-Toronto"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Electronics,AI Center-Toronto","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052510175","display_name":"Mahmoud Afifi","orcid":"https://orcid.org/0000-0003-0125-4945"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Mahmoud Afifi","raw_affiliation_strings":["Samsung Electronics,AI Center-Toronto"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Electronics,AI Center-Toronto","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075135613","display_name":"Michael S. Brown","orcid":"https://orcid.org/0000-0002-6357-2562"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Michael S. Brown","raw_affiliation_strings":["Samsung Electronics,AI Center-Toronto"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Electronics,AI Center-Toronto","institution_ids":["https://openalex.org/I2250650973"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2250650973"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3945","last_page":"3954"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12032","display_name":"Multisensory perception and integration","score":0.02410000003874302,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12032","display_name":"Multisensory perception and integration","score":0.02410000003874302,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13638","display_name":"Human auditory perception and evaluation","score":0.02239999920129776,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.017999999225139618,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6448000073432922},{"id":"https://openalex.org/keywords/standard-illuminant","display_name":"Standard illuminant","score":0.6118999719619751},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5250999927520752},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.44359999895095825},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.439300000667572},{"id":"https://openalex.org/keywords/stylized-fact","display_name":"Stylized fact","score":0.42340001463890076},{"id":"https://openalex.org/keywords/color-balance","display_name":"Color balance","score":0.42309999465942383},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.35580000281333923}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6899999976158142},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6614999771118164},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6448000073432922},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6424000263214111},{"id":"https://openalex.org/C129112856","wikidata":"https://www.wikidata.org/wiki/Q375479","display_name":"Standard illuminant","level":2,"score":0.6118999719619751},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5250999927520752},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.44359999895095825},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.439300000667572},{"id":"https://openalex.org/C38935604","wikidata":"https://www.wikidata.org/wiki/Q4330363","display_name":"Stylized fact","level":2,"score":0.42340001463890076},{"id":"https://openalex.org/C159784718","wikidata":"https://www.wikidata.org/wiki/Q182571","display_name":"Color balance","level":5,"score":0.42309999465942383},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3736000061035156},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.35580000281333923},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.31520000100135803},{"id":"https://openalex.org/C2779495555","wikidata":"https://www.wikidata.org/wiki/Q5148596","display_name":"Color correction","level":3,"score":0.29899999499320984},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2912999987602234},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29019999504089355},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.2896000146865845},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.28839999437332153},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2712000012397766},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.26930001378059387},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.26759999990463257},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.25780001282691956}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccvw69036.2025.00410","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw69036.2025.00410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W759139936","https://openalex.org/W1534426948","https://openalex.org/W1989811281","https://openalex.org/W1994857745","https://openalex.org/W2018899493","https://openalex.org/W2033230679","https://openalex.org/W2050986938","https://openalex.org/W2052090926","https://openalex.org/W2059511298","https://openalex.org/W2088828956","https://openalex.org/W2100001370","https://openalex.org/W2115257219","https://openalex.org/W2144148623","https://openalex.org/W2155138846","https://openalex.org/W2165834033","https://openalex.org/W2239332732","https://openalex.org/W2306965214","https://openalex.org/W2460242234","https://openalex.org/W2519060067","https://openalex.org/W2556952061","https://openalex.org/W2739489527","https://openalex.org/W2903718897","https://openalex.org/W2951964038","https://openalex.org/W2963466723","https://openalex.org/W2979830907","https://openalex.org/W2981794609","https://openalex.org/W2998191538","https://openalex.org/W3034695079","https://openalex.org/W3035404488","https://openalex.org/W3088489962","https://openalex.org/W3144785864","https://openalex.org/W3166595568","https://openalex.org/W3173334433","https://openalex.org/W3177078167","https://openalex.org/W3198960704","https://openalex.org/W4214764690","https://openalex.org/W4318693477","https://openalex.org/W4376626190","https://openalex.org/W4378009539","https://openalex.org/W4387574399","https://openalex.org/W4390872034","https://openalex.org/W4390872998","https://openalex.org/W4403562323"],"related_works":[],"abstract_inverted_index":{"The":[0],"image":[1],"signal":[2],"processor":[3],"(ISP)":[4],"pipeline":[5],"in":[6,22,122,157],"modern":[7],"cameras":[8],"consists":[9],"of":[10,171],"several":[11],"modules":[12],"that":[13,113],"transform":[14],"raw":[15],"sensor":[16],"data":[17],"into":[18,118],"visually":[19],"pleasing":[20],"images":[21,174],"a":[23,110,123,162,169],"display":[24],"color":[25,57,143],"space.":[26,125],"Among":[27],"these,":[28],"the":[29,102],"auto":[30],"white":[31,95],"balance":[32],"(AWB)":[33],"module":[34,137],"is":[35,101,151],"essential":[36],"for":[37,39,76],"compensating":[38],"scene":[40],"illumination.":[41],"However,":[42],"commercial":[43],"AWB":[44,64,136,191],"systems":[45],"often":[46],"strive":[47],"to":[48,69,104,138],"compute":[49],"aesthetic":[50,106],"white-balance":[51],"preferences":[52],"rather":[53],"than":[54],"accurate":[55],"neutral":[56,94,115,135],"correction.":[58],"While":[59],"learning-based":[60],"methods":[61,89],"have":[62],"improved":[63],"accuracy,":[65],"they":[66],"typically":[67],"struggle":[68],"generalize":[70],"across":[71,145],"different":[72,177],"camera":[73],"sensors\u2014an":[74],"issue":[75],"smart-phones":[77],"with":[78,188],"multiple":[79],"cameras.":[80,147],"Recent":[81],"work":[82],"has":[83],"explored":[84],"cross-camera":[85,190],"AWB,":[86],"but":[87],"most":[88],"remain":[90],"focused":[91],"on":[92,161,168],"achieving":[93],"balance.":[96],"In":[97],"contrast,":[98],"this":[99],"paper":[100],"first":[103],"address":[105],"consistency":[107],"by":[108],"learning":[109],"post-illuminant-estimation":[111],"mapping":[112,129],"transforms":[114],"illuminant":[116],"corrections":[117,121],"aesthetically":[119],"preferred":[120],"camera-agnostic":[124],"Once":[126],"trained,":[127],"our":[128,179],"can":[130],"be":[131],"applied":[132],"after":[133],"any":[134],"enable":[139],"consistent":[140],"and":[141,196],"stylized":[142],"rendering":[144],"unseen":[146],"Our":[148],"proposed":[149],"model":[150],"lightweight\u2014containing":[152],"only":[153],"~500":[154],"parameters\u2014and":[155],"runs":[156],"just":[158],"0.024":[159],"milliseconds":[160],"typical":[163],"flagship":[164],"mobile":[165],"CPU.":[166],"Evaluated":[167],"dataset":[170],"771":[172],"smartphone":[173],"from":[175],"three":[176],"cameras,":[178],"method":[180],"achieves":[181],"state-of-the-art":[182],"performance":[183],"while":[184],"remaining":[185],"fully":[186],"compatible":[187],"existing":[189],"techniques,":[192],"introducing":[193],"minimal":[194],"computational":[195],"memory":[197],"overhead.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-02-24T00:00:00"}