{"id":"https://openalex.org/W4409346813","doi":"https://doi.org/10.1609/aaai.v39i2.32168","title":"AGFSync: Leveraging AI-Generated Feedback for Preference Optimization in Text-to-Image Generation","display_name":"AGFSync: Leveraging AI-Generated Feedback for Preference Optimization in Text-to-Image Generation","publication_year":2025,"publication_date":"2025-04-11","ids":{"openalex":"https://openalex.org/W4409346813","doi":"https://doi.org/10.1609/aaai.v39i2.32168"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v39i2.32168","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v39i2.32168","pdf_url":null,"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://doi.org/10.1609/aaai.v39i2.32168","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101373120","display_name":"Jingkun An","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingkun An","raw_affiliation_strings":["Beihang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068253534","display_name":"Yinghao Zhu","orcid":"https://orcid.org/0000-0002-2640-6477"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinghao Zhu","raw_affiliation_strings":["Beihang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034828760","display_name":"Zongjian Li","orcid":"https://orcid.org/0009-0007-2069-4096"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongjian Li","raw_affiliation_strings":["Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102521317","display_name":"Enshen Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enshen Zhou","raw_affiliation_strings":["Beihang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100412583","display_name":"Haoran Feng","orcid":"https://orcid.org/0009-0005-8608-6961"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoran Feng","raw_affiliation_strings":["Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049883737","display_name":"Xijie Huang","orcid":"https://orcid.org/0000-0001-5508-5433"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xijie Huang","raw_affiliation_strings":["Beihang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041378399","display_name":"Bohua Chen","orcid":"https://orcid.org/0000-0003-4467-1060"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bohua Chen","raw_affiliation_strings":["Huazhong University of Science and Technolog"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technolog","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081388259","display_name":"Yemin Shi","orcid":"https://orcid.org/0000-0001-9024-7266"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yemin Shi","raw_affiliation_strings":["Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030668126","display_name":"Chengwei Pan","orcid":"https://orcid.org/0000-0003-0497-7903"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengwei Pan","raw_affiliation_strings":["Beihang University\nZhongguancun Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University\nZhongguancun Laboratory","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.8082,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.95782104,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"39","issue":"2","first_page":"1746","last_page":"1754"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.5634999871253967,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10215","display_name":"Semantic Web and Ontologies","score":0.5634999871253967,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.49309998750686646,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10028","display_name":"Topic Modeling","score":0.492900013923645,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/preference","display_name":"Preference","score":0.6511691808700562},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5948243141174316},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.541658878326416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49227872490882874},{"id":"https://openalex.org/keywords/image-manipulation","display_name":"Image manipulation","score":0.4651392996311188},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35720330476760864},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.324127197265625},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2013518214225769},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1601763665676117}],"concepts":[{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6511691808700562},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5948243141174316},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.541658878326416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49227872490882874},{"id":"https://openalex.org/C2987933465","wikidata":"https://www.wikidata.org/wiki/Q141130","display_name":"Image manipulation","level":3,"score":0.4651392996311188},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35720330476760864},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.324127197265625},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2013518214225769},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1601763665676117}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v39i2.32168","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v39i2.32168","pdf_url":null,"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.v39i2.32168","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v39i2.32168","pdf_url":null,"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":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2949816130","https://openalex.org/W2225239186","https://openalex.org/W2037030319","https://openalex.org/W2042193908","https://openalex.org/W2096230562","https://openalex.org/W4307186884","https://openalex.org/W2788541584","https://openalex.org/W3093158276","https://openalex.org/W3183170284","https://openalex.org/W2572781942"],"abstract_inverted_index":{"Text-to-Image":[0],"(T2I)":[1],"diffusion":[2,48,127],"models":[3,49,87,128],"have":[4],"achieved":[5],"remarkable":[6],"success":[7],"in":[8,16,55,105],"image":[9,20,67],"generation.":[10],"Despite":[11],"their":[12],"progress,":[13],"challenges":[14],"remain":[15],"both":[17],"prompt-following":[18],"ability,":[19],"quality":[21,68],"and":[22,72,93,110],"lack":[23],"of":[24,124],"high-quality":[25],"datasets,":[26],"which":[27],"are":[28],"essential":[29],"for":[30,132],"refining":[31,125],"these":[32],"models.":[33,121],"As":[34],"acquiring":[35],"labeled":[36],"data":[37,76],"is":[38],"costly,":[39],"we":[40],"introduce":[41],"AGFSync,":[42],"a":[43,56],"framework":[44],"that":[45],"enhances":[46],"T2I":[47,86,126],"through":[50],"Direct":[51],"Preference":[52],"Optimization":[53],"(DPO)":[54],"fully":[57],"AI-driven":[58,79],"approach.":[59],"AGFSync":[60,83],"utilizes":[61],"Vision-Language":[62],"Models":[63],"(VLM)":[64],"to":[65,84],"assess":[66],"across":[69],"style,":[70],"coherence,":[71],"aesthetics,":[73],"generating":[74],"feedback":[75],"within":[77],"an":[78],"loop.":[80],"By":[81],"applying":[82],"leading":[85],"such":[88],"as":[89],"SD":[90],"v1.4,":[91],"v1.5,":[92],"SDXL-base,":[94],"our":[95],"extensive":[96],"experiments":[97],"on":[98,112],"the":[99,113,119,130],"TIFA":[100],"dataset":[101],"demonstrate":[102],"notable":[103],"improvements":[104],"VQA":[106],"scores,":[107],"aesthetic":[108],"evaluations,":[109],"performance":[111],"HPS":[114],"v2":[115],"benchmark,":[116],"consistently":[117],"outperforming":[118],"base":[120],"AGFSync's":[122],"method":[123],"paves":[129],"way":[131],"scalable":[133],"alignment":[134],"techniques.":[135]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}