{"id":"https://openalex.org/W4405114800","doi":"https://doi.org/10.1145/3704262","title":"A Survey of AI-Generated Content (AIGC)","display_name":"A Survey of AI-Generated Content (AIGC)","publication_year":2024,"publication_date":"2024-12-06","ids":{"openalex":"https://openalex.org/W4405114800","doi":"https://doi.org/10.1145/3704262"},"language":"en","primary_location":{"id":"doi:10.1145/3704262","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3704262","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3704262","source":{"id":"https://openalex.org/S157921468","display_name":"ACM Computing Surveys","issn_l":"0360-0300","issn":["0360-0300","1557-7341"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Computing Surveys","raw_type":"journal-article"},"type":"review","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3704262","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025005606","display_name":"Y. Charles Cao","orcid":"https://orcid.org/0000-0003-4420-8252"},"institutions":[{"id":"https://openalex.org/I1316064682","display_name":"LinkedIn (United States)","ror":"https://ror.org/02fyxhe35","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I1316064682"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yihan Cao","raw_affiliation_strings":["Premium AI, LinkedIn Corp, Mountain View, United States"],"raw_orcid":"https://orcid.org/0000-0003-4420-8252","affiliations":[{"raw_affiliation_string":"Premium AI, LinkedIn Corp, Mountain View, United States","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010089822","display_name":"Siyu Li","orcid":"https://orcid.org/0009-0001-0561-1738"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siyu Li","raw_affiliation_strings":["Emory University, Atlanta, United States"],"raw_orcid":"https://orcid.org/0009-0001-0561-1738","affiliations":[{"raw_affiliation_string":"Emory University, Atlanta, United States","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100386690","display_name":"Yixin Liu","orcid":"https://orcid.org/0000-0003-3856-439X"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yixin Liu","raw_affiliation_strings":["Lehigh University, Bethlehem, United States"],"raw_orcid":"https://orcid.org/0000-0003-3856-439X","affiliations":[{"raw_affiliation_string":"Lehigh University, Bethlehem, United States","institution_ids":["https://openalex.org/I186143895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100551577","display_name":"Zhiling Yan","orcid":"https://orcid.org/0009-0002-0322-431X"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiling Yan","raw_affiliation_strings":["Lehigh University, Bethlehem, United States"],"raw_orcid":"https://orcid.org/0009-0002-0322-431X","affiliations":[{"raw_affiliation_string":"Lehigh University, Bethlehem, United States","institution_ids":["https://openalex.org/I186143895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027179087","display_name":"Yutong Dai","orcid":"https://orcid.org/0000-0003-4212-2017"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yutong Dai","raw_affiliation_strings":["Lehigh University, Bethlehem, United States"],"raw_orcid":"https://orcid.org/0000-0003-4212-2017","affiliations":[{"raw_affiliation_string":"Lehigh University, Bethlehem, United States","institution_ids":["https://openalex.org/I186143895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036357902","display_name":"Philip S. Yu","orcid":"https://orcid.org/0000-0002-3491-5968"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip Yu","raw_affiliation_strings":["Department of Computer Science, University of Illinois at Chicago, Chicago, United States"],"raw_orcid":"https://orcid.org/0000-0002-3491-5968","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois at Chicago, Chicago, United States","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015105117","display_name":"Lichao Sun","orcid":"https://orcid.org/0000-0003-1539-7939"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lichao Sun","raw_affiliation_strings":["Lehigh University, Bethlehem, United States"],"raw_orcid":"https://orcid.org/0000-0003-1539-7939","affiliations":[{"raw_affiliation_string":"Lehigh University, Bethlehem, United States","institution_ids":["https://openalex.org/I186143895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5025005606"],"corresponding_institution_ids":["https://openalex.org/I1316064682"],"apc_list":null,"apc_paid":null,"fwci":39.8763,"has_fulltext":false,"cited_by_count":128,"citation_normalized_percentile":{"value":0.99865086,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"57","issue":"5","first_page":"1","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9957000017166138,"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/T10028","display_name":"Topic Modeling","score":0.9957000017166138,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9868000149726868,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9678000211715698,"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/computer-science","display_name":"Computer science","score":0.8599491119384766},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.44936054944992065},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.4235537350177765}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8599491119384766},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.44936054944992065},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.4235537350177765},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3704262","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3704262","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3704262","source":{"id":"https://openalex.org/S157921468","display_name":"ACM Computing Surveys","issn_l":"0360-0300","issn":["0360-0300","1557-7341"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Computing Surveys","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3704262","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3704262","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3704262","source":{"id":"https://openalex.org/S157921468","display_name":"ACM Computing Surveys","issn_l":"0360-0300","issn":["0360-0300","1557-7341"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Computing Surveys","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G599083427","display_name":null,"funder_award_id":"FRGS00011497","funder_id":"https://openalex.org/F4320310365","funder_display_name":"Lehigh University"}],"funders":[{"id":"https://openalex.org/F4320310365","display_name":"Lehigh University","ror":"https://ror.org/012afjb06"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405114800.pdf"},"referenced_works_count":140,"referenced_works":["https://openalex.org/W179875071","https://openalex.org/W648143168","https://openalex.org/W1587022413","https://openalex.org/W1593271688","https://openalex.org/W1981795678","https://openalex.org/W2024683554","https://openalex.org/W2039814685","https://openalex.org/W2108598243","https://openalex.org/W2116013899","https://openalex.org/W2136634080","https://openalex.org/W2140693291","https://openalex.org/W2144499799","https://openalex.org/W2153579005","https://openalex.org/W2255466643","https://openalex.org/W2276794758","https://openalex.org/W2419501139","https://openalex.org/W2434741482","https://openalex.org/W2557717610","https://openalex.org/W2593414223","https://openalex.org/W2599674900","https://openalex.org/W2619016545","https://openalex.org/W2626804490","https://openalex.org/W2737740651","https://openalex.org/W2750699642","https://openalex.org/W2752796333","https://openalex.org/W2798702047","https://openalex.org/W2808975577","https://openalex.org/W2891336206","https://openalex.org/W2895749211","https://openalex.org/W2898418766","https://openalex.org/W2899575547","https://openalex.org/W2913002991","https://openalex.org/W2947681066","https://openalex.org/W2950813464","https://openalex.org/W2959300817","https://openalex.org/W2962770929","https://openalex.org/W2963306805","https://openalex.org/W2963374482","https://openalex.org/W2963435138","https://openalex.org/W2963608065","https://openalex.org/W2963760481","https://openalex.org/W2963951265","https://openalex.org/W2963966654","https://openalex.org/W2964024144","https://openalex.org/W2966715458","https://openalex.org/W2970231061","https://openalex.org/W2972473628","https://openalex.org/W2973727699","https://openalex.org/W2981153070","https://openalex.org/W2981207549","https://openalex.org/W2989512989","https://openalex.org/W2991327923","https://openalex.org/W2997545008","https://openalex.org/W2997591391","https://openalex.org/W2998563994","https://openalex.org/W3011574394","https://openalex.org/W3034238904","https://openalex.org/W3034987089","https://openalex.org/W3034999214","https://openalex.org/W3035702572","https://openalex.org/W3036167779","https://openalex.org/W3041956526","https://openalex.org/W3044960932","https://openalex.org/W3088227725","https://openalex.org/W3088409176","https://openalex.org/W3097587372","https://openalex.org/W3098605233","https://openalex.org/W3099950029","https://openalex.org/W3100258764","https://openalex.org/W3119866685","https://openalex.org/W3123340107","https://openalex.org/W3129576130","https://openalex.org/W3133702157","https://openalex.org/W3135734416","https://openalex.org/W3138516171","https://openalex.org/W3138815606","https://openalex.org/W3143852976","https://openalex.org/W3156309620","https://openalex.org/W3159043981","https://openalex.org/W3161207330","https://openalex.org/W3166396011","https://openalex.org/W3170092793","https://openalex.org/W3174902251","https://openalex.org/W3176477796","https://openalex.org/W3177174258","https://openalex.org/W3178406257","https://openalex.org/W3179455893","https://openalex.org/W3182696977","https://openalex.org/W3184735396","https://openalex.org/W3185341429","https://openalex.org/W3198685994","https://openalex.org/W3213234378","https://openalex.org/W4205130185","https://openalex.org/W4213299273","https://openalex.org/W4214926101","https://openalex.org/W4220922485","https://openalex.org/W4221167110","https://openalex.org/W4224035735","https://openalex.org/W4224306633","https://openalex.org/W4225744337","https://openalex.org/W4226125322","https://openalex.org/W4226278401","https://openalex.org/W4226317937","https://openalex.org/W4229005866","https://openalex.org/W4231697575","https://openalex.org/W4281485151","https://openalex.org/W4281758439","https://openalex.org/W4287077836","https://openalex.org/W4287121833","https://openalex.org/W4287391717","https://openalex.org/W4295106955","https://openalex.org/W4298289240","https://openalex.org/W4300672471","https://openalex.org/W4306814521","https://openalex.org/W4307653761","https://openalex.org/W4311397562","https://openalex.org/W4312283676","https://openalex.org/W4312293341","https://openalex.org/W4312933868","https://openalex.org/W4319653860","https://openalex.org/W4372266552","https://openalex.org/W4375949262","https://openalex.org/W4385269969","https://openalex.org/W4385567170","https://openalex.org/W4385572634","https://openalex.org/W4390872921","https://openalex.org/W4390873658","https://openalex.org/W4401397240","https://openalex.org/W4401819803","https://openalex.org/W4402704597","https://openalex.org/W4402727156","https://openalex.org/W4404545521","https://openalex.org/W4404658388","https://openalex.org/W6680532216","https://openalex.org/W6735913928","https://openalex.org/W6762931180","https://openalex.org/W6779823529","https://openalex.org/W6796588791","https://openalex.org/W6802422826","https://openalex.org/W6811027347"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Recently,":[0],"Artificial":[1],"Intelligence":[2],"Generated":[3],"Content":[4],"(AIGC)":[5],"has":[6],"gained":[7],"significant":[8],"attention":[9],"from":[10],"society,":[11],"especially":[12],"with":[13,53],"the":[14,54,58,90,108,114,125,131,134,139,142,164,169],"rise":[15],"of":[16,56,89,92,110,120,127,172],"Generative":[17],"AI":[18,40],"(GAI)":[19],"techniques":[20],"such":[21,46],"as":[22,47,74,155],"ChatGPT,":[23],"GPT-4":[24],"[":[25,29,34],"165":[26],"],":[27,31],"DALL-E-3":[28],"184":[30],"and":[32,50,64,80,95,104,117,122,146,166],"Sora":[33],"137":[35],"].":[36],"AIGC":[37,73,173],"involves":[38],"using":[39],"models":[41,67,94,119],"to":[42],"create":[43],"digital":[44],"content,":[45],"images,":[48],"music,":[49],"natural":[51],"language,":[52],"goal":[55],"making":[57],"content":[59],"creation":[60],"process":[61],"more":[62],"efficient":[63],"accessible.":[65],"Large-scale":[66],"have":[68],"become":[69],"increasingly":[70],"important":[71],"in":[72,98,149,162],"they":[75],"provide":[76],"better":[77],"intent":[78],"extraction":[79],"generation":[81,115],"results.":[82],"This":[83],"survey":[84,140,153],"provides":[85],"a":[86,156],"comprehensive":[87],"review":[88],"history":[91],"generative":[93],"recent":[96],"advances":[97],"AIGC,":[99],"focusing":[100],"on":[101],"both":[102],"unimodal":[103],"multimodal":[105],"interaction.":[106],"From":[107,124],"perspective":[109,126],"unimodality,":[111],"we":[112,129],"introduce":[113,130],"tasks":[116],"relative":[118],"text":[121],"image.":[123],"multimodality,":[128],"cross-application":[132],"between":[133],"modalities":[135],"mentioned":[136],"above.":[137],"Finally,":[138],"discusses":[141],"existing":[143],"open":[144],"problems":[145],"future":[147],"challenges":[148],"AIGC.":[150],"Overall,":[151],"this":[152],"serves":[154],"valuable":[157],"resource":[158],"for":[159],"individuals":[160],"interested":[161],"understanding":[163],"background":[165],"secrets":[167],"behind":[168],"impressive":[170],"performance":[171],"techniques.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":36},{"year":2025,"cited_by_count":75},{"year":2024,"cited_by_count":17}],"updated_date":"2026-05-30T09:04:40.226872","created_date":"2025-10-10T00:00:00"}
