{"id":"https://openalex.org/W4377111730","doi":"https://doi.org/10.48550/arxiv.2305.10079","title":"Face Recognition Using Synthetic Face Data","display_name":"Face Recognition Using Synthetic Face Data","publication_year":2023,"publication_date":"2023-05-17","ids":{"openalex":"https://openalex.org/W4377111730","doi":"https://doi.org/10.48550/arxiv.2305.10079"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2305.10079","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.10079","pdf_url":"https://arxiv.org/pdf/2305.10079","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2305.10079","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033899214","display_name":"Omer Granoviter","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Granoviter, Omer","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000458808","display_name":"\u0410. \u0414. \u0413\u0440\u0443\u0437\u0434\u0435\u0432","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gruzdev, Alexey","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074538752","display_name":"\u0412. \u041d. \u041b\u043e\u0433\u0438\u043d\u043e\u0432","orcid":"https://orcid.org/0000-0002-2685-6646"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Loginov, Vladimir","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004621491","display_name":"Max Kogan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kogan, Max","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5068319733","display_name":"Orly Zvitia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zvitia, Orly","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5033899214"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9879999756813049,"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":0.970300018787384,"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/computer-science","display_name":"Computer science","score":0.8157402276992798},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6648444533348083},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6480081677436829},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.598471462726593},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5461449027061462},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5344715714454651},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5190542340278625},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.4975428879261017},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49471303820610046},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.48271748423576355},{"id":"https://openalex.org/keywords/graphics-pipeline","display_name":"Graphics pipeline","score":0.462250679731369},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.43727877736091614},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4218020737171173},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.41225147247314453},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3603718876838684},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34100639820098877},{"id":"https://openalex.org/keywords/3d-computer-graphics","display_name":"3D computer graphics","score":0.09853368997573853}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8157402276992798},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6648444533348083},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6480081677436829},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.598471462726593},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5461449027061462},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5344715714454651},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5190542340278625},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.4975428879261017},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49471303820610046},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.48271748423576355},{"id":"https://openalex.org/C173552908","wikidata":"https://www.wikidata.org/wiki/Q1366289","display_name":"Graphics pipeline","level":4,"score":0.462250679731369},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.43727877736091614},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4218020737171173},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.41225147247314453},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3603718876838684},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34100639820098877},{"id":"https://openalex.org/C66629338","wikidata":"https://www.wikidata.org/wiki/Q189177","display_name":"3D computer graphics","level":3,"score":0.09853368997573853},{"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2305.10079","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.10079","pdf_url":"https://arxiv.org/pdf/2305.10079","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2305.10079","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2305.10079","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2305.10079","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.10079","pdf_url":"https://arxiv.org/pdf/2305.10079","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W54172855","https://openalex.org/W2044956415","https://openalex.org/W3036499167","https://openalex.org/W4286644998","https://openalex.org/W2296384428","https://openalex.org/W3043139608","https://openalex.org/W4200090032","https://openalex.org/W2358482593","https://openalex.org/W2361232358","https://openalex.org/W2073920172"],"abstract_inverted_index":{"In":[0,53],"the":[1,58,79,90,114,131,143,147],"field":[2],"of":[3,26,61,102,104,116,133,142],"deep":[4],"learning":[5],"applied":[6],"to":[7,138],"face":[8,135,144],"recognition,":[9],"securing":[10],"large-scale,":[11],"high-quality":[12,27],"datasets":[13,43],"is":[14],"vital":[15],"for":[16],"attaining":[17],"precise":[18],"and":[19,38,50],"reliable":[20],"results.":[21],"However,":[22],"amassing":[23],"significant":[24],"volumes":[25],"real":[28,105],"data":[29,83],"faces":[30,68],"hurdles":[31],"such":[32],"as":[33],"time":[34],"limitations,":[35],"financial":[36],"burdens,":[37],"privacy":[39],"issues.":[40],"Furthermore,":[41],"prevalent":[42],"are":[44],"often":[45],"impaired":[46],"by":[47,145],"racial":[48],"biases":[49],"annotation":[51],"inaccuracies.":[52],"this":[54],"paper,":[55],"we":[56,129],"underscore":[57],"promising":[59],"application":[60],"synthetic":[62,82],"data,":[63],"generated":[64],"through":[65],"rendering":[66],"digital":[67],"via":[69],"our":[70,152],"computer":[71],"graphics":[72],"pipeline,":[73],"in":[74,151],"achieving":[75],"competitive":[76],"results":[77,93],"with":[78,100],"state-of-the-art":[80],"on":[81,108,125],"across":[84],"multiple":[85],"benchmark":[86],"datasets.":[87],"By":[88],"finetuning":[89],"model,we":[91],"obtain":[92],"that":[94],"rival":[95],"those":[96],"achieved":[97],"when":[98],"training":[99],"hundreds":[101],"thousands":[103],"images":[106],"(98.7%":[107],"LFW":[109],"[1]).":[110],"We":[111],"further":[112],"investigate":[113],"contribution":[115],"adding":[117],"intra-class":[118],"variance":[119],"factors":[120],"(e.g.,":[121],"makeup,":[122],"accessories,":[123],"haircuts)":[124],"model":[126],"performance.":[127],"Finally,":[128],"reveal":[130],"sensitivity":[132],"pre-trained":[134],"recognition":[136],"models":[137],"alternating":[139],"specific":[140],"parts":[141],"leveraging":[146],"granular":[148],"control":[149],"capability":[150],"platform.":[153]},"counts_by_year":[],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}
