{"id":"https://openalex.org/W4409368677","doi":"https://doi.org/10.1609/aaai.v39i4.32386","title":"Resolving Multi-Condition Confusion for Finetuning-Free Personalized Image Generation","display_name":"Resolving Multi-Condition Confusion for Finetuning-Free Personalized Image Generation","publication_year":2025,"publication_date":"2025-04-11","ids":{"openalex":"https://openalex.org/W4409368677","doi":"https://doi.org/10.1609/aaai.v39i4.32386"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v39i4.32386","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v39i4.32386","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/32386/34541","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/32386/34541","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089939846","display_name":"Qihan Huang","orcid":"https://orcid.org/0000-0002-2529-467X"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Qihan Huang","raw_affiliation_strings":["Zhejiang University\nAlibaba Group"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University\nAlibaba Group","institution_ids":["https://openalex.org/I4210095624","https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083298839","display_name":"Siming Fu","orcid":"https://orcid.org/0000-0003-3257-1011"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siming Fu","raw_affiliation_strings":["Alibaba Group"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I4210095624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100339168","display_name":"Jinlong Liu","orcid":"https://orcid.org/0000-0002-0284-5029"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinlong Liu","raw_affiliation_strings":["Alibaba Group"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I4210095624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041881347","display_name":"Hao Jiang","orcid":"https://orcid.org/0000-0002-6757-4231"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Jiang","raw_affiliation_strings":["Alibaba Group"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I4210095624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100696875","display_name":"Yan Yu","orcid":"https://orcid.org/0009-0004-3004-3770"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yipeng Yu","raw_affiliation_strings":["Alibaba Group"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I4210095624"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004612882","display_name":"Jie Song","orcid":"https://orcid.org/0000-0003-0704-3217"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Song","raw_affiliation_strings":["Zhejiang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.2683,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.97702204,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"39","issue":"4","first_page":"3707","last_page":"3714"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9871000051498413,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9871000051498413,"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":0.9657999873161316,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9603000283241272,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/confusion","display_name":"Confusion","score":0.8205571174621582},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5274500846862793},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4652036130428314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2976268231868744},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1800331473350525}],"concepts":[{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.8205571174621582},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5274500846862793},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4652036130428314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2976268231868744},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1800331473350525},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v39i4.32386","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v39i4.32386","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/32386/34541","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v39i4.32386","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v39i4.32386","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/32386/34541","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322927","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409368677.pdf","grobid_xml":"https://content.openalex.org/works/W4409368677.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2964976023","https://openalex.org/W1982477181","https://openalex.org/W2403083015","https://openalex.org/W4285488523","https://openalex.org/W2011367623","https://openalex.org/W4408384948","https://openalex.org/W2734065904"],"abstract_inverted_index":{"Personalized":[0],"text-to-image":[1],"generation":[2,179],"methods":[3,20],"can":[4,174],"generate":[5,31],"customized":[6],"images":[7,33,42],"based":[8],"on":[9,133,177,200,217],"the":[10,45,51,75,84,90,95,114,131,139,159,163,198,201,215],"reference":[11,41,60,110,186],"images,":[12],"which":[13],"have":[14],"garnered":[15],"wide":[16],"research":[17],"interest.":[18],"Recent":[19],"propose":[21,103,152],"a":[22,26,104,134,181],"finetuning-free":[23],"approach":[24],"with":[25],"decoupled":[27,47],"cross-attention":[28,48],"mechanism":[29,49],"to":[30,57,62,94,107,129,157,197],"personalized":[32,209,219],"requiring":[34],"no":[35],"test-time":[36],"finetuning.":[37],"However,":[38],"when":[39,180],"multiple":[40,109,185],"are":[43],"provided,":[44],"current":[46],"encounters":[50],"object":[52,76,97,145,154,183],"confusion":[53,77,146],"problem":[54],"and":[55,101,127,147,204,212],"fails":[56],"map":[58],"each":[59],"image":[61,92,111,160,210,220],"its":[63,69],"corresponding":[64,115],"object,":[65],"thereby":[66],"seriously":[67],"limiting":[68],"scope":[70],"of":[71,86,89,165,207],"application.":[72],"To":[73,143],"address":[74],"problem,":[78],"in":[79,98],"this":[80,120],"work":[81],"we":[82,118,151],"investigate":[83],"relevance":[85],"different":[87],"positions":[88],"latent":[91],"features":[93,112],"target":[96],"diffusion":[99],"model,":[100],"accordingly":[102],"weighted-merge":[105,121,171],"method":[106,122,193],"merge":[108],"into":[113,123],"objects.":[116],"Next,":[117],"integrate":[119],"existing":[124],"pre-trained":[125],"models":[126],"continue":[128],"train":[130],"model":[132],"multi-object":[135,208],"dataset":[136,203,206],"constructed":[137],"from":[138],"open-sourced":[140],"SA-1B":[141],"dataset.":[142],"mitigate":[144],"reduce":[148],"training":[149,167,172],"costs,":[150],"an":[153],"quality":[155,161],"score":[156],"estimate":[158],"for":[162],"selection":[164],"high-quality":[166],"samples.":[168],"Furthermore,":[169],"our":[170,192],"framework":[173],"be":[175],"employed":[176],"single-object":[178,218],"single":[182],"has":[184],"images.":[187],"The":[188],"experiments":[189],"verify":[190],"that":[191],"achieves":[194],"superior":[195],"performance":[196,216],"state-of-the-arts":[199],"Concept101":[202],"DreamBooth":[205],"generation,":[211],"remarkably":[213],"improves":[214],"generation.":[221]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}