{"id":"https://openalex.org/W4379806297","doi":"https://doi.org/10.1145/3591106.3592273","title":"Unlocking Potential of 3D-aware GAN for More Expressive Face Generation","display_name":"Unlocking Potential of 3D-aware GAN for More Expressive Face Generation","publication_year":2023,"publication_date":"2023-06-08","ids":{"openalex":"https://openalex.org/W4379806297","doi":"https://doi.org/10.1145/3591106.3592273"},"language":"en","primary_location":{"id":"doi:10.1145/3591106.3592273","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3591106.3592273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 ACM International Conference on Multimedia Retrieval","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/A5064473236","display_name":"Juheon Hwang","orcid":"https://orcid.org/0009-0002-3132-7551"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Juheon Hwang","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Yonsei University, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0002-3132-7551","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Yonsei University, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000307942","display_name":"Jiwoo Kang","orcid":"https://orcid.org/0000-0001-7622-0817"},"institutions":[{"id":"https://openalex.org/I31766871","display_name":"Sookmyung Women's University","ror":"https://ror.org/00vvvt117","country_code":"KR","type":"education","lineage":["https://openalex.org/I31766871"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jiwoo Kang","raw_affiliation_strings":["Division of Artificial Intelligence Engineering, Sookmyung Women's University, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-7622-0817","affiliations":[{"raw_affiliation_string":"Division of Artificial Intelligence Engineering, Sookmyung Women's University, Republic of Korea","institution_ids":["https://openalex.org/I31766871"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078972894","display_name":"Kyoungoh Lee","orcid":"https://orcid.org/0000-0002-5273-0131"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyoungoh Lee","raw_affiliation_strings":["AI Application Section, Electronics and Telecommunications Research Institute, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-5273-0131","affiliations":[{"raw_affiliation_string":"AI Application Section, Electronics and Telecommunications Research Institute, Republic of Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100320181","display_name":"Sanghoon Lee","orcid":"https://orcid.org/0000-0001-9895-5347"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sanghoon Lee","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Yonsei University, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-9895-5347","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Yonsei University, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064473236"],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05091227,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"115","last_page":"124"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9998999834060669,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9998999834060669,"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/T11448","display_name":"Face recognition and analysis","score":0.9991999864578247,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9976999759674072,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8233358860015869},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5727584958076477},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5256779789924622},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37810787558555603},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3361240029335022}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8233358860015869},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5727584958076477},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5256779789924622},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37810787558555603},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3361240029335022},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3591106.3592273","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3591106.3592273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 ACM International Conference on Multimedia Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1834627138","https://openalex.org/W2107037917","https://openalex.org/W2237250383","https://openalex.org/W2745497104","https://openalex.org/W2769666294","https://openalex.org/W2884460600","https://openalex.org/W2949662773","https://openalex.org/W2962770929","https://openalex.org/W2963105487","https://openalex.org/W2964449965","https://openalex.org/W2969985801","https://openalex.org/W2985068832","https://openalex.org/W3008721991","https://openalex.org/W3014852036","https://openalex.org/W3014859719","https://openalex.org/W3034371424","https://openalex.org/W3035355202","https://openalex.org/W3035574324","https://openalex.org/W3087815362","https://openalex.org/W3095664976","https://openalex.org/W3104792420","https://openalex.org/W3122081138","https://openalex.org/W3127039734","https://openalex.org/W3135455183","https://openalex.org/W3173102319","https://openalex.org/W3173241699","https://openalex.org/W3173531806","https://openalex.org/W3174525923","https://openalex.org/W3176179930","https://openalex.org/W3176913662","https://openalex.org/W3177221875","https://openalex.org/W3186205335","https://openalex.org/W3186630079","https://openalex.org/W3201739204","https://openalex.org/W3204680331","https://openalex.org/W3207918547","https://openalex.org/W3214497989","https://openalex.org/W3217427959","https://openalex.org/W4214827287","https://openalex.org/W4224306633","https://openalex.org/W4225744337","https://openalex.org/W4281640624","https://openalex.org/W4281642841","https://openalex.org/W4287817254","https://openalex.org/W4312120781","https://openalex.org/W4312400623","https://openalex.org/W4312453532","https://openalex.org/W4312590328","https://openalex.org/W4312984277","https://openalex.org/W6803601828"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"As":[0],"style-based":[1],"image":[2,131],"generators":[3],"have":[4,20,36,64],"achieved":[5],"disentanglement":[6],"in":[7,38,110,188],"features":[8],"by":[9],"converting":[10],"latent":[11],"vector":[12,16],"space":[13],"to":[14,23,50,83,105,121,143,169],"style":[15],"space,":[17],"numerous":[18],"efforts":[19],"been":[21],"made":[22],"enhance":[24],"the":[25,28,51,54,58,85,123,140,151,154,165,177,180,183,189],"controllability":[26],"of":[27,88,130,164,179,182,191],"latent.":[29],"However,":[30],"existing":[31],"methods":[32,178],"for":[33,78,139],"controllable":[34],"models":[35],"limitations":[37],"precisely":[39],"creating":[40],"high-resolution":[41,59,192],"faces":[42,91],"with":[43],"large":[44],"expressions.":[45,194],"The":[46,173],"degradation":[47],"is":[48],"due":[49],"dependence":[52],"on":[53,125],"training":[55,76,119],"dataset,":[56],"as":[57,161],"face":[60,146,158],"datasets":[61,127],"do":[62],"not":[63],"sufficient":[65],"expressive":[66,90,108],"images.":[67],"To":[68],"tackle":[69],"this":[70],"challenge,":[71],"we":[72,98,115,134],"propose":[73,99,135],"a":[74,93,100,117,136,145],"robust":[75],"framework":[77],"3D-aware":[79],"generative":[80],"adversarial":[81],"networks":[82],"learn":[84],"high-quality":[86],"generation":[87,190],"more":[89,107],"through":[92],"signed":[94],"distance":[95],"field.":[96],"First,":[97],"novel":[101],"3D":[102,157],"enforcement":[103],"loss":[104,129],"generate":[106,170],"images":[109],"an":[111],"unsupervised":[112],"manner.":[113],"Second,":[114],"introduce":[116],"partial":[118],"method":[120],"fine-tune":[122],"network":[124,155],"multiple":[126],"without":[128],"resolution.":[132],"Finally,":[133],"ray-scaling":[137],"scheme":[138],"volume":[141],"renderer":[142],"represent":[144],"at":[147],"arbitrary":[148],"scales.":[149],"Through":[150],"proposed":[152],"framework,":[153],"learns":[156],"priors,":[159],"such":[160],"expressional":[162],"shapes":[163],"parametric":[166],"facial":[167,193],"model,":[168],"detailed":[171],"faces.":[172],"experimental":[174],"results":[175],"outperform":[176],"state":[181],"art,":[184],"showing":[185],"strong":[186],"benefits":[187]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
