{"id":"https://openalex.org/W4408355570","doi":"https://doi.org/10.1109/icassp49660.2025.10890774","title":"AGIAA-2K: A Fine-grained Dataset for Aesthetic and Alignment Evaluation of AI-Generated Images","display_name":"AGIAA-2K: A Fine-grained Dataset for Aesthetic and Alignment Evaluation of AI-Generated Images","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408355570","doi":"https://doi.org/10.1109/icassp49660.2025.10890774"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10890774","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100748112","display_name":"Bo Hu","orcid":"https://orcid.org/0000-0001-5874-3315"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo Hu","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications,Key Laboratory of Image Cognition,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications,Key Laboratory of Image Cognition,Chongqing,China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068935138","display_name":"Nanxiang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nanxiang Li","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications,Key Laboratory of Image Cognition,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications,Key Laboratory of Image Cognition,Chongqing,China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108586995","display_name":"Lihuo He","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihuo He","raw_affiliation_strings":["Xidian University,School of Electronic Engineering,Xi’an,China"],"affiliations":[{"raw_affiliation_string":"Xidian University,School of Electronic Engineering,Xi’an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103080827","display_name":"Wen Lu","orcid":"https://orcid.org/0000-0003-2066-5643"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Lu","raw_affiliation_strings":["Xidian University,School of Electronic Engineering,Xi’an,China"],"affiliations":[{"raw_affiliation_string":"Xidian University,School of Electronic Engineering,Xi’an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113876094","display_name":"Leida Li","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leida Li","raw_affiliation_strings":["Xidian University,School of Artificial Intelligence,Xi’an,China"],"affiliations":[{"raw_affiliation_string":"Xidian University,School of Artificial Intelligence,Xi’an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101785348","display_name":"Xinbo Gao","orcid":"https://orcid.org/0000-0003-1443-0776"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinbo Gao","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications,Key Laboratory of Image Cognition,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications,Key Laboratory of Image Cognition,Chongqing,China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100748112"],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04302206,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9509000182151794,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9509000182151794,"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/T12650","display_name":"Aesthetic Perception and Analysis","score":0.944599986076355,"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"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9362999796867371,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.685512900352478},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5764514207839966},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4945783317089081}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.685512900352478},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5764514207839966},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4945783317089081}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10890774","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323172","display_name":"Natural Science Foundation of Chongqing","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324805","display_name":"Chongqing Municipal Education Commission","ror":"https://ror.org/031nm5713"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2078807908","https://openalex.org/W2417288846","https://openalex.org/W2529088810","https://openalex.org/W2754213847","https://openalex.org/W3153469116","https://openalex.org/W3185402090","https://openalex.org/W4214745154","https://openalex.org/W4285606417","https://openalex.org/W4312353506","https://openalex.org/W4312933868","https://openalex.org/W4386211581","https://openalex.org/W4387010079","https://openalex.org/W4390356990","https://openalex.org/W4390874002","https://openalex.org/W4391490252","https://openalex.org/W4396851234","https://openalex.org/W4400309711","https://openalex.org/W4402979192","https://openalex.org/W6740006508","https://openalex.org/W6755312952","https://openalex.org/W6838639034","https://openalex.org/W6852065897","https://openalex.org/W6852162230","https://openalex.org/W6869416046"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"With":[0],"the":[1,21,33,39,55,61,104,108,111,119,122],"advancement":[2],"of":[3,24,35,46,57,64,78,110,121,129,136],"AI-generated":[4,7],"content":[5],"technologies,":[6],"images":[8,87],"(AGIs)":[9],"have":[10],"become":[11],"increasingly":[12],"influential":[13],"in":[14,127],"artistic":[15],"creation":[16],"and":[17,32,75,133],"visual":[18],"communication.":[19],"However,":[20],"aesthetic":[22,44,131],"quality":[23],"AGIs":[25,79],"varies":[26],"significantly":[27],"due":[28],"to":[29,53],"technical":[30],"limitations":[31],"influence":[34],"user":[36],"input,":[37],"underscoring":[38],"urgent":[40],"need":[41],"for":[42,73],"systematic":[43],"evaluation":[45,77],"AGIs.":[47,65,137],"In":[48],"addition,":[49],"it":[50],"is":[51,81,113,152],"difficult":[52],"ensure":[54],"consistency":[56],"text-to-image,":[58],"which":[59],"compresses":[60],"application":[62],"space":[63],"To":[66],"address":[67],"these":[68,142,147],"issues,":[69],"a":[70],"fine-grained":[71],"dataset":[72,84,112],"Aesthetic":[74],"Alignment":[76],"(AGIAA-2K)":[80],"presented.":[82],"This":[83],"contains":[85],"2,064":[86],"generated":[88],"using":[89],"172":[90],"well-designed":[91],"prompts":[92],"across":[93],"six":[94],"different":[95],"AGI":[96],"models,":[97],"with":[98],"each":[99],"image":[100,130],"annotated":[101],"based":[102],"on":[103],"subjective":[105],"experiment.":[106],"Then,":[107],"rationality":[109],"verified":[114],"by":[115],"data":[116],"analysis.":[117],"Finally,":[118],"performances":[120],"existing":[123],"algorithms":[124,143],"are":[125],"evaluated":[126],"terms":[128],"assessment":[132],"text-to-image":[134],"alignment":[135],"The":[138,150],"results":[139],"demonstrate":[140],"that":[141],"cannot":[144],"effectively":[145],"evaluate":[146],"two":[148],"aspects.":[149],"AGIAA-2K":[151],"available":[153],"at":[154],"https://github.com/BoHu90/AGIAA-2K.":[155]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}