{"id":"https://openalex.org/W7129064941","doi":"https://doi.org/10.1049/ipr2.70306","title":"End\u2010to\u2010End Multi\u2010Entity Customization","display_name":"End\u2010to\u2010End Multi\u2010Entity Customization","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7129064941","doi":"https://doi.org/10.1049/ipr2.70306"},"language":"en","primary_location":{"id":"doi:10.1049/ipr2.70306","is_oa":true,"landing_page_url":"https://doi.org/10.1049/ipr2.70306","pdf_url":null,"source":{"id":"https://openalex.org/S83215360","display_name":"IET Image Processing","issn_l":"1751-9659","issn":["1751-9659","1751-9667"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1049/ipr2.70306","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111153023","display_name":"Wonhark Park","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Wonhark Park","raw_affiliation_strings":["Department of Intelligence and Information Seoul National University Seoul Korea (the Republic of)"],"raw_orcid":"https://orcid.org/0009-0000-9346-3327","affiliations":[{"raw_affiliation_string":"Department of Intelligence and Information Seoul National University Seoul Korea (the Republic of)","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126149629","display_name":"Jaehyun Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaehyun Lee","raw_affiliation_strings":["Department of Intelligence and Information Seoul National University Seoul Korea (the Republic of)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Intelligence and Information Seoul National University Seoul Korea (the Republic of)","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109513148","display_name":"Wonsik Shin","orcid":"https://orcid.org/0009-0009-7458-9579"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Wonsik Shin","raw_affiliation_strings":["Department of Artificial Intelligence Seoul National University Seoul Korea (the Republic of)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence Seoul National University Seoul Korea (the Republic of)","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104293406","display_name":"Junhoo Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junhoo Lee","raw_affiliation_strings":["Department of Intelligence and Information Seoul National University Seoul Korea (the Republic of)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Intelligence and Information Seoul National University Seoul Korea (the Republic of)","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":null,"display_name":"Nojun Kwak","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Nojun Kwak","raw_affiliation_strings":["Department of Artificial Intelligence Seoul National University Seoul Korea (the Republic of)","Department of Intelligence and Information Seoul National University Seoul Korea (the Republic of)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence Seoul National University Seoul Korea (the Republic of)","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Department of Intelligence and Information Seoul National University Seoul Korea (the Republic of)","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":{"value":2530,"currency":"USD","value_usd":2530},"apc_paid":{"value":2530,"currency":"USD","value_usd":2530},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19273327,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.6449000239372253,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.6449000239372253,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.07249999791383743,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.035599999129772186,"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/personalization","display_name":"Personalization","score":0.7692000269889832},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.635200023651123},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4885999858379364},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.46380001306533813},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.3522000014781952},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3353999853134155}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8661999702453613},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.7692000269889832},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.635200023651123},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4885999858379364},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.46380001306533813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4359000027179718},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4203000068664551},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.3522000014781952},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3465000092983246},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3353999853134155},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3246999979019165},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3244999945163727},{"id":"https://openalex.org/C3018587665","wikidata":"https://www.wikidata.org/wiki/Q7268696","display_name":"Qualitative analysis","level":3,"score":0.3167000114917755},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.2879999876022339},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.2808000147342682},{"id":"https://openalex.org/C95986675","wikidata":"https://www.wikidata.org/wiki/Q185168","display_name":"Quantitative analysis (chemistry)","level":2,"score":0.2791000008583069},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.2709999978542328},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2685000002384186},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.25850000977516174}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1049/ipr2.70306","is_oa":true,"landing_page_url":"https://doi.org/10.1049/ipr2.70306","pdf_url":null,"source":{"id":"https://openalex.org/S83215360","display_name":"IET Image Processing","issn_l":"1751-9659","issn":["1751-9659","1751-9667"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Image Processing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1049/ipr2.70306","is_oa":true,"landing_page_url":"https://doi.org/10.1049/ipr2.70306","pdf_url":null,"source":{"id":"https://openalex.org/S83215360","display_name":"IET Image Processing","issn_l":"1751-9659","issn":["1751-9659","1751-9667"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Image Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G619377722","display_name":null,"funder_award_id":"RS\u20102024\u201000398320","funder_id":"https://openalex.org/F4320323890","funder_display_name":"Korea Creative Content Agency"}],"funders":[{"id":"https://openalex.org/F4320323890","display_name":"Korea Creative Content Agency","ror":"https://ror.org/036vyg793"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2962785568","https://openalex.org/W2963966654","https://openalex.org/W2964024144","https://openalex.org/W3159481202","https://openalex.org/W3174525637","https://openalex.org/W3176674719","https://openalex.org/W4312388283","https://openalex.org/W4312933868","https://openalex.org/W4313186669","https://openalex.org/W4385535331","https://openalex.org/W4386072096","https://openalex.org/W4386076425","https://openalex.org/W4386076458","https://openalex.org/W4389539271","https://openalex.org/W4390872297","https://openalex.org/W4390872341","https://openalex.org/W4390873054","https://openalex.org/W4402660138","https://openalex.org/W4402726936","https://openalex.org/W4402753775","https://openalex.org/W4402754193","https://openalex.org/W4402916399","https://openalex.org/W4403770038","https://openalex.org/W4410907380","https://openalex.org/W4414979100"],"related_works":[],"abstract_inverted_index":{"ABSTRACT":[0],"Recent":[1],"advancements":[2],"in":[3,34,134],"text\u2010to\u2010image":[4],"(T2I)":[5],"models":[6],"have":[7],"enabled":[8],"the":[9,22,45,64,76],"synthesis":[10],"of":[11,24,47],"personalized":[12],"images":[13],"that":[14,118],"align":[15],"closely":[16],"with":[17,31,91],"user\u2010specified":[18],"prompts,":[19],"especially":[20],"through":[21],"use":[23],"modifiers.":[25],"However,":[26],"generating":[27],"multiple":[28],"detailed":[29],"objects":[30],"distinct":[32],"modifiers":[33],"a":[35,56,95],"single":[36],"image":[37],"remains":[38],"challenging":[39],"due":[40],"to":[41,59,103,125],"concept\u2010mixing,":[42],"resulting":[43],"from":[44],"difficulty":[46],"capturing":[48],"interactions":[49],"among":[50,66],"text":[51,67],"tokens.":[52,68],"This":[53],"paper":[54],"proposes":[55],"modifier\u2010based":[57],"approach":[58],"mitigate":[60],"concept\u2010mixing":[61,123],"by":[62],"addressing":[63],"interaction":[65,90],"Our":[69,140],"method":[70,100,120],"enables":[71],"practical":[72],"multi\u2010personalization":[73],"while":[74],"preserving":[75],"original":[77],"T2I":[78],"model's":[79],"straightforward":[80],"inference":[81],"pipeline.":[82],"Without":[83],"structural":[84],"guidance,":[85],"it":[86],"ensures":[87],"seamless":[88],"object":[89],"enhanced":[92],"consistency.":[93],"Through":[94,110],"loss\u2010based":[96],"finetuning":[97],"approach,":[98],"our":[99,119],"is":[101],"adaptable":[102],"various":[104],"concept\u2010learning":[105],"algorithms,":[106],"enabling":[107],"plug\u2010and\u2010play":[108],"functionality.":[109],"both":[111,135],"qualitative":[112,138],"and":[113,130,137],"quantitative":[114,136],"evaluations,":[115],"we":[116],"demonstrate":[117],"effectively":[121],"resolves":[122],"issues":[124],"better":[126],"preserve":[127],"concepts'":[128],"identities":[129],"outperforms":[131],"recent":[132],"baselines":[133],"results.":[139],"code":[141],"will":[142],"be":[143],"publicly":[144],"available.":[145]},"counts_by_year":[],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2026-02-17T00:00:00"}