{"id":"https://openalex.org/W4392693721","doi":"https://doi.org/10.1109/tcsvt.2024.3374887","title":"Causal Representation Learning for GAN-Generated Face Image Quality Assessment","display_name":"Causal Representation Learning for GAN-Generated Face Image Quality Assessment","publication_year":2024,"publication_date":"2024-03-12","ids":{"openalex":"https://openalex.org/W4392693721","doi":"https://doi.org/10.1109/tcsvt.2024.3374887"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2024.3374887","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3374887","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-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/A5100745438","display_name":"Yu Tian","orcid":"https://orcid.org/0000-0002-8147-8334"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Yu Tian","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385178","display_name":"Shiqi Wang","orcid":"https://orcid.org/0000-0002-3583-959X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shiqi Wang","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063776325","display_name":"Baoliang Chen","orcid":"https://orcid.org/0000-0003-4884-6956"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Baoliang Chen","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008386708","display_name":"Sam Kwong","orcid":"https://orcid.org/0000-0001-7484-7261"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sam Kwong","raw_affiliation_strings":["Department of Computing and Decision Sciences, Lingnan University, Tuen Mun, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computing and Decision Sciences, Lingnan University, Tuen Mun, Hong Kong","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100745438"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":2.7421,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.91145604,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"34","issue":"8","first_page":"7589","last_page":"7600"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9965999722480774,"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/T11448","display_name":"Face recognition and analysis","score":0.9965999722480774,"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/T10057","display_name":"Face and Expression Recognition","score":0.9761999845504761,"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/T10828","display_name":"Biometric Identification and Security","score":0.9639000296592712,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6701819896697998},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6225561499595642},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5305830836296082},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5153502821922302},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5016288757324219},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.493387371301651},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4797997772693634},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4654567837715149},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.44304922223091125},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41828450560569763},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4118330478668213}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6701819896697998},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6225561499595642},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5305830836296082},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5153502821922302},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5016288757324219},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.493387371301651},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4797997772693634},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4654567837715149},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.44304922223091125},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41828450560569763},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4118330478668213},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2024.3374887","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3374887","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":96,"referenced_works":["https://openalex.org/W2004714383","https://openalex.org/W2102166818","https://openalex.org/W2138790992","https://openalex.org/W2139314678","https://openalex.org/W2170567421","https://openalex.org/W2194775991","https://openalex.org/W2741143921","https://openalex.org/W2754213847","https://openalex.org/W2763549966","https://openalex.org/W2766522240","https://openalex.org/W2793964976","https://openalex.org/W2885305518","https://openalex.org/W2886934227","https://openalex.org/W2915109329","https://openalex.org/W2937274663","https://openalex.org/W2962770929","https://openalex.org/W2962785568","https://openalex.org/W2963231084","https://openalex.org/W2963918210","https://openalex.org/W2963975576","https://openalex.org/W2969842256","https://openalex.org/W2997565080","https://openalex.org/W3006276840","https://openalex.org/W3012472557","https://openalex.org/W3024207815","https://openalex.org/W3030380536","https://openalex.org/W3034577585","https://openalex.org/W3035719652","https://openalex.org/W3035739915","https://openalex.org/W3036239693","https://openalex.org/W3103635814","https://openalex.org/W3108650314","https://openalex.org/W3108981297","https://openalex.org/W3127430257","https://openalex.org/W3130885914","https://openalex.org/W3135479537","https://openalex.org/W3135588948","https://openalex.org/W3135955502","https://openalex.org/W3153355178","https://openalex.org/W3159198982","https://openalex.org/W3161417217","https://openalex.org/W3169129566","https://openalex.org/W3173217100","https://openalex.org/W3174847300","https://openalex.org/W3176726917","https://openalex.org/W3196778703","https://openalex.org/W3205542312","https://openalex.org/W3207397767","https://openalex.org/W3207961195","https://openalex.org/W3210514413","https://openalex.org/W4205221484","https://openalex.org/W4220671231","https://openalex.org/W4223928407","https://openalex.org/W4224267514","https://openalex.org/W4285133379","https://openalex.org/W4285204090","https://openalex.org/W4293117528","https://openalex.org/W4294982611","https://openalex.org/W4297798428","https://openalex.org/W4311212916","https://openalex.org/W4312232143","https://openalex.org/W4312448777","https://openalex.org/W4312523764","https://openalex.org/W4312862560","https://openalex.org/W4313042219","https://openalex.org/W4319300090","https://openalex.org/W4319994095","https://openalex.org/W4321021075","https://openalex.org/W4322576760","https://openalex.org/W4383889937","https://openalex.org/W4385339047","https://openalex.org/W4385574853","https://openalex.org/W4385804965","https://openalex.org/W4386066208","https://openalex.org/W4386071753","https://openalex.org/W4387010079","https://openalex.org/W6631190155","https://openalex.org/W6638046521","https://openalex.org/W6714644935","https://openalex.org/W6718379498","https://openalex.org/W6735913928","https://openalex.org/W6745560452","https://openalex.org/W6746951097","https://openalex.org/W6752753668","https://openalex.org/W6763113603","https://openalex.org/W6765779288","https://openalex.org/W6766978945","https://openalex.org/W6770593915","https://openalex.org/W6774125049","https://openalex.org/W6781725895","https://openalex.org/W6784704365","https://openalex.org/W6800694804","https://openalex.org/W6811180767","https://openalex.org/W6842489536","https://openalex.org/W6842889262","https://openalex.org/W6845902352"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W2795079307","https://openalex.org/W2793058541","https://openalex.org/W1983629434","https://openalex.org/W2055929693","https://openalex.org/W4324271173","https://openalex.org/W1967645776","https://openalex.org/W2098693229","https://openalex.org/W2384651879","https://openalex.org/W2801208768"],"abstract_inverted_index":{"Recent":[0],"years":[1],"have":[2],"witnessed":[3],"significant":[4,37],"advancements":[5],"in":[6,66,126],"face":[7,22],"image":[8,23,41,56],"generation":[9,34],"using":[10],"generative":[11],"adversarial":[12],"networks":[13],"(GANs),":[14],"leading":[15],"to":[16],"a":[17,36,67,72,84,101,152],"high":[18,68,153],"demand":[19],"for":[20,39,50,79,107],"GAN-generated":[21],"quality":[24,42,122],"assessment":[25,43,123],"(GFIQA).":[26],"However,":[27],"the":[28,33,55,108,114,117,133,147,162,171],"intrinsic":[29],"distortion":[30,57],"caused":[31],"by":[32,88,141],"brings":[35],"challenge":[38],"existing":[40,93],"(IQA)":[44],"models":[45],"which":[46],"are":[47],"typically":[48],"designed":[49],"natural":[51],"images.":[52],"In":[53,129],"addition,":[54],"usually":[58],"varies":[59],"depending":[60],"on":[61,155],"different":[62,127],"GAN":[63,95],"models,":[64],"resulting":[65],"generalization":[69,154],"capability":[70],"that":[71,116],"GFIQA":[73,86,110],"model":[74,111,150],"should":[75],"possess.":[76],"To":[77],"account":[78],"this,":[80],"we":[81,98,131],"first":[82],"establish":[83],"large":[85],"database":[87],"collecting":[89],"various":[90],"GFIs":[91],"from":[92],"popular":[94],"models.":[96],"Subsequently,":[97],"further":[99],"propose":[100],"causal":[102,118],"representation":[103],"learning":[104],"(CRL)":[105],"scheme":[106],"generalized":[109],"(CRL-GFIQA)":[112],"with":[113,151],"assumption":[115],"knowledge":[119],"of":[120,164],"human":[121],"is":[124],"shareable":[125],"scenarios.":[128],"particular,":[130],"disentangle":[132],"learned":[134],"features":[135],"into":[136],"casual":[137],"and":[138,170],"non-causal":[139],"components":[140],"an":[142],"invertible":[143],"neural":[144],"network,":[145],"facilitating":[146],"proposed":[148],"CRL-GFIQA":[149,166],"unseen":[156],"domains.":[157],"Extensive":[158],"experimental":[159],"results":[160],"demonstrate":[161],"effectiveness":[163],"our":[165],"model.":[167],"The":[168],"codes":[169],"constructed":[172],"dataset":[173],"will":[174],"be":[175],"publicly":[176],"available.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}