{"id":"https://openalex.org/W4391094082","doi":"https://doi.org/10.1109/bigdata59044.2023.10386942","title":"Audio-visual Neural Face Generation with Emotional Stimuli","display_name":"Audio-visual Neural Face Generation with Emotional Stimuli","publication_year":2023,"publication_date":"2023-12-15","ids":{"openalex":"https://openalex.org/W4391094082","doi":"https://doi.org/10.1109/bigdata59044.2023.10386942"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata59044.2023.10386942","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata59044.2023.10386942","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","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":false,"raw_author_name":"Juheon Hwang","raw_affiliation_strings":["Yonsei University,Department of Electrical and Electronic Engineering,Seoul,Korea","Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University,Department of Electrical and Electronic Engineering,Seoul,Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","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":["Sookmyung Women&#x2019;s University,Division of Artificial Intelligence Engineering,Seoul,Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sookmyung Women&#x2019;s University,Division of Artificial Intelligence Engineering,Seoul,Korea","institution_ids":["https://openalex.org/I31766871"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18018476,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2183","last_page":"2187"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998000264167786,"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":0.9998000264167786,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9993000030517578,"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/T10860","display_name":"Speech and Audio Processing","score":0.9966999888420105,"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/avatar","display_name":"Avatar","score":0.7838100790977478},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7759037613868713},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.6928390860557556},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6296038031578064},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5682346820831299},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5284072160720825},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5004885196685791},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.43786364793777466},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.18872040510177612}],"concepts":[{"id":"https://openalex.org/C2777365542","wikidata":"https://www.wikidata.org/wiki/Q83090","display_name":"Avatar","level":2,"score":0.7838100790977478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7759037613868713},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.6928390860557556},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6296038031578064},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5682346820831299},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5284072160720825},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5004885196685791},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.43786364793777466},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.18872040510177612},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata59044.2023.10386942","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata59044.2023.10386942","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2030931454","https://openalex.org/W2194775991","https://openalex.org/W2726515241","https://openalex.org/W2745497104","https://openalex.org/W2808631503","https://openalex.org/W2963839617","https://openalex.org/W3024869864","https://openalex.org/W3094411524","https://openalex.org/W3122081138","https://openalex.org/W3153220274","https://openalex.org/W3174752334","https://openalex.org/W3180589757","https://openalex.org/W3184952021","https://openalex.org/W3196974791","https://openalex.org/W4200150166","https://openalex.org/W4200382072","https://openalex.org/W4214731463","https://openalex.org/W4288043288","https://openalex.org/W4288242633","https://openalex.org/W4310380504","https://openalex.org/W4312233178","https://openalex.org/W4312590328","https://openalex.org/W6640963894","https://openalex.org/W6762718338","https://openalex.org/W6841454795"],"related_works":["https://openalex.org/W3138471234","https://openalex.org/W4247958311","https://openalex.org/W4396832849","https://openalex.org/W1584662471","https://openalex.org/W2785089443","https://openalex.org/W2265117524","https://openalex.org/W1467576422","https://openalex.org/W4399125999","https://openalex.org/W1872262506","https://openalex.org/W2169060180"],"abstract_inverted_index":{"In":[0],"communication,":[1],"it":[2],"is":[3,79,97],"important":[4],"to":[5,64,99],"generate":[6,65],"realistic":[7,115],"3D":[8],"facial":[9,26,45],"avatars":[10],"that":[11,22,42,96,109],"can":[12],"express":[13],"various":[14],"expressions.":[15],"However,":[16],"existing":[17],"models":[18],"have":[19],"limitations":[20],"in":[21,28],"they":[23],"cannot":[24],"show":[25],"expressions":[27,46],"sufficient":[29],"detail.":[30],"To":[31],"this":[32],"end,":[33],"we":[34],"propose":[35],"an":[36,66],"audio-visual":[37],"volumetric":[38],"avatar":[39,67,118],"generation":[40,119],"method":[41,111],"reconstructs":[43],"detailed":[44],"using":[47],"two":[48],"emotional":[49],"stimuli.":[50],"Emotional":[51],"features":[52],"extracted":[53],"from":[54],"the":[55,58,62,69,73,85,88,91,94,102],"input":[56,82],"and":[57,107,116],"rendered":[59],"image":[60],"induce":[61],"model":[63,89],"with":[68,84,101],"same":[70,74],"emotion.":[71],"At":[72],"time,":[75],"a":[76],"speech":[77],"clip":[78],"used":[80],"as":[81],"along":[83],"images,":[86],"helping":[87],"recognize":[90],"emotion":[92],"of":[93],"target":[95],"difficult":[98],"understand":[100],"images.":[103],"We":[104],"showed":[105],"qualitatively":[106,108],"our":[110],"achieved":[112],"significantly":[113],"more":[114],"higher-quality":[117],"than":[120],"current":[121],"state-of-the-art":[122],"methods.":[123]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
