{"id":"https://openalex.org/W4308237175","doi":"https://doi.org/10.1109/icip46576.2022.9897164","title":"Illumination-Aware Style Transfer for Image Harmonization","display_name":"Illumination-Aware Style Transfer for Image Harmonization","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308237175","doi":"https://doi.org/10.1109/icip46576.2022.9897164"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897164","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897164","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","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/A5002152257","display_name":"Teng Ren","orcid":"https://orcid.org/0000-0003-2867-5918"},"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":"Teng Ren","raw_affiliation_strings":["Beijing University of Posts and Telecomm.,Beijing Key Lab of Intelligent Telecomm. Software and Multimedia,Beijing,China","Beijing Key Lab of Intelligent Telecomm. Software and Multimedia, Beijing University of Posts and Telecomm., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecomm.,Beijing Key Lab of Intelligent Telecomm. Software and Multimedia,Beijing,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing Key Lab of Intelligent Telecomm. Software and Multimedia, Beijing University of Posts and Telecomm., Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100454596","display_name":"Haitao Zhang","orcid":"https://orcid.org/0000-0002-9131-3517"},"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":"Haitao Zhang","raw_affiliation_strings":["Beijing University of Posts and Telecomm.,Beijing Key Lab of Intelligent Telecomm. Software and Multimedia,Beijing,China","Beijing Key Lab of Intelligent Telecomm. Software and Multimedia, Beijing University of Posts and Telecomm., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecomm.,Beijing Key Lab of Intelligent Telecomm. Software and Multimedia,Beijing,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing Key Lab of Intelligent Telecomm. Software and Multimedia, Beijing University of Posts and Telecomm., Beijing, China","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":0.2361,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.58679915,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2856","last_page":"2860"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9970999956130981,"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":0.9970999956130981,"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":0.9951000213623047,"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":0.9907000064849854,"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/computer-science","display_name":"Computer science","score":0.7335083484649658},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6988850831985474},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5914907455444336},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.573185920715332},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5604882836341858},{"id":"https://openalex.org/keywords/harmonization","display_name":"Harmonization","score":0.5529027581214905},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.49697092175483704},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.4962537884712219},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07897824048995972},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.06079545617103577}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7335083484649658},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6988850831985474},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5914907455444336},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.573185920715332},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5604882836341858},{"id":"https://openalex.org/C2779962950","wikidata":"https://www.wikidata.org/wiki/Q5659376","display_name":"Harmonization","level":2,"score":0.5529027581214905},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.49697092175483704},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.4962537884712219},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07897824048995972},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.06079545617103577},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9897164","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897164","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W92691110","https://openalex.org/W759139936","https://openalex.org/W1522301498","https://openalex.org/W1950407018","https://openalex.org/W1960752652","https://openalex.org/W1997488488","https://openalex.org/W2052003757","https://openalex.org/W2129112648","https://openalex.org/W2141015396","https://openalex.org/W2165633874","https://openalex.org/W2190424233","https://openalex.org/W2735039185","https://openalex.org/W2960974111","https://openalex.org/W2962737447","https://openalex.org/W2997095758","https://openalex.org/W3008540959","https://openalex.org/W3034684802","https://openalex.org/W3105636206","https://openalex.org/W3169823210","https://openalex.org/W3171714858","https://openalex.org/W4295312788","https://openalex.org/W4301868816","https://openalex.org/W6631190155","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W2006073222","https://openalex.org/W2366107444","https://openalex.org/W2488916264","https://openalex.org/W2323573032","https://openalex.org/W4388145910","https://openalex.org/W1976205134","https://openalex.org/W2381570729","https://openalex.org/W1908077024","https://openalex.org/W4248336175","https://openalex.org/W198625436"],"abstract_inverted_index":{"Image":[0],"harmonization":[1],"aims":[2],"to":[3,16,66,93,121,139,154],"make":[4,17],"composite":[5,33,71],"images":[6,72],"visually":[7],"consistent":[8],"by":[9,117],"adjusting":[10],"the":[11,14,21,29,42,63,68,77,84,98,105,108,111,118,123,127,135,140,149,156,172],"appearance":[12],"of":[13,32,61,70,107],"foreground":[15,43,78,143],"it":[18],"harmonious":[19],"with":[20,73,134],"background.":[22,80],"Previous":[23],"methods":[24,37],"mainly":[25],"focus":[26],"on":[27,171],"transferring":[28],"global":[30,124,128],"style":[31,58,85,95,136],"images.":[34],"However,":[35],"these":[36],"don\u2019t":[38],"perform":[39],"well":[40],"when":[41],"and":[44,79,144,148,175],"background":[45,145],"lighting":[46,167],"conditions":[47],"are":[48,102,115,131,152],"quite":[49],"different.":[50],"In":[51],"this":[52],"paper,":[53],"we":[54,82],"propose":[55],"an":[56],"illumination-aware":[57],"transfer":[59],"method,":[60],"which":[62],"goal":[64],"is":[65],"enhance":[67],"realism":[69],"inconsistent":[74],"illumination":[75],"between":[76,142],"Firstly,":[81],"use":[83],"encoder":[86],"network":[87],"that":[88,179],"has":[89],"been":[90],"specially":[91],"designed":[92],"produce":[94],"features.":[96],"And":[97],"local":[99,112],"light":[100,113,129,146],"estimates":[101,114,130],"calculated":[103],"from":[104],"patches":[106],"image.":[109,158],"Then":[110],"re-fined":[116],"contribution-weighted":[119],"aggregation":[120],"obtain":[122],"estimates.":[125],"Finally,":[126],"adaptively":[132],"fused":[133,150],"features":[137,151],"according":[138],"distinction":[141],"estimates,":[147],"decoded":[153],"generate":[155],"harmonized":[157],"We":[159],"also":[160],"construct":[161],"a":[162],"dataset":[163,174,177],"for":[164],"evaluating":[165],"image":[166],"harmonization.":[168],"Extensive":[169],"experiments":[170],"iHarmony4":[173],"our":[176,180],"demonstrate":[178],"method":[181],"achieves":[182],"state-of-the-art":[183],"performance.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
