{"id":"https://openalex.org/W3211802944","doi":"https://doi.org/10.1109/fg52635.2021.9666953","title":"Tensor-based Subspace Factorization for StyleGAN","display_name":"Tensor-based Subspace Factorization for StyleGAN","publication_year":2021,"publication_date":"2021-12-15","ids":{"openalex":"https://openalex.org/W3211802944","doi":"https://doi.org/10.1109/fg52635.2021.9666953","mag":"3211802944"},"language":"en","primary_location":{"id":"doi:10.1109/fg52635.2021.9666953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg52635.2021.9666953","pdf_url":null,"source":{"id":"https://openalex.org/S4363608446","display_name":"2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2111.04554","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088345591","display_name":"Ren\u00e9 Haas","orcid":"https://orcid.org/0000-0002-9417-8787"},"institutions":[{"id":"https://openalex.org/I83467386","display_name":"IT University of Copenhagen","ror":"https://ror.org/02309jg23","country_code":"DK","type":"education","lineage":["https://openalex.org/I83467386"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Rene Haas","raw_affiliation_strings":["IT University of Copenhagen, Copenhagen, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IT University of Copenhagen, Copenhagen, Denmark","institution_ids":["https://openalex.org/I83467386"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Stella GraBhof","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stella GraBhof","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5083670972","display_name":"Sami S. Brandt","orcid":"https://orcid.org/0000-0003-2141-9815"},"institutions":[{"id":"https://openalex.org/I83467386","display_name":"IT University of Copenhagen","ror":"https://ror.org/02309jg23","country_code":"DK","type":"education","lineage":["https://openalex.org/I83467386"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Sami S. Brandt","raw_affiliation_strings":["IT University of Copenhagen, Copenhagen, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IT University of Copenhagen, Copenhagen, Denmark","institution_ids":["https://openalex.org/I83467386"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"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":"9","issue":null,"first_page":"1","last_page":"8"},"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":0.9980999827384949,"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":0.9980999827384949,"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":0.9980000257492065,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9000999927520752,"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/multilinear-map","display_name":"Multilinear map","score":0.8483489751815796},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.7683161497116089},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7521107196807861},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.5754384398460388},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5540183186531067},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5363826155662537},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5286208391189575},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4809126555919647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46019816398620605},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.44773760437965393},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37915319204330444},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37645119428634644},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34357786178588867},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.17099493741989136},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.16609114408493042}],"concepts":[{"id":"https://openalex.org/C84392682","wikidata":"https://www.wikidata.org/wiki/Q1952404","display_name":"Multilinear map","level":2,"score":0.8483489751815796},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.7683161497116089},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7521107196807861},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.5754384398460388},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5540183186531067},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5363826155662537},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5286208391189575},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4809126555919647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46019816398620605},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.44773760437965393},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37915319204330444},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37645119428634644},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34357786178588867},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.17099493741989136},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.16609114408493042},{"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/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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/fg52635.2021.9666953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg52635.2021.9666953","pdf_url":null,"source":{"id":"https://openalex.org/S4363608446","display_name":"2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/932f1dd9-d173-4714-a623-bbccc7b41226","is_oa":false,"landing_page_url":"https://pure.itu.dk/portal/da/publications/932f1dd9-d173-4714-a623-bbccc7b41226","pdf_url":null,"source":{"id":"https://openalex.org/S4377196680","display_name":"IT University Of Copenhagen (IT University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83467386","host_organization_name":"IT University of Copenhagen","host_organization_lineage":["https://openalex.org/I83467386"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Haas, R, Grasshof, S & Brandt, S S 2021, Tensor-based Subspace Factorization for StyleGAN. in IEEE International Conference on Automatic Face and Gesture Recognition 2021. < https://www.researchgate.net/publication/356026652_Tensor-based_Subspace_Factorization_for_StyleGAN >","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:arXiv.org:2111.04554","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2111.04554","pdf_url":"https://arxiv.org/pdf/2111.04554","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:3211802944","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2111.04554v1","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2111.04554","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2111.04554","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":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2111.04554","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2111.04554","pdf_url":"https://arxiv.org/pdf/2111.04554","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1807911131","https://openalex.org/W2013912476","https://openalex.org/W2017107803","https://openalex.org/W2024165284","https://openalex.org/W2135666716","https://openalex.org/W2159269332","https://openalex.org/W2160551639","https://openalex.org/W2194775991","https://openalex.org/W2237250383","https://openalex.org/W2603777577","https://openalex.org/W2617323512","https://openalex.org/W2618530766","https://openalex.org/W2962770929","https://openalex.org/W2962785568","https://openalex.org/W2969803502","https://openalex.org/W2985068832","https://openalex.org/W3014852036","https://openalex.org/W3016520013","https://openalex.org/W3034371424","https://openalex.org/W3034431451","https://openalex.org/W3034625979","https://openalex.org/W3035574324","https://openalex.org/W3177221875","https://openalex.org/W6676800495","https://openalex.org/W6680591342","https://openalex.org/W6718140377","https://openalex.org/W6779093361","https://openalex.org/W6781344492"],"related_works":["https://openalex.org/W3126624604","https://openalex.org/W2588438375","https://openalex.org/W1856913691","https://openalex.org/W3186752514","https://openalex.org/W3126473335","https://openalex.org/W2804013387","https://openalex.org/W3048790906","https://openalex.org/W1812168191","https://openalex.org/W3202493402","https://openalex.org/W2896558689","https://openalex.org/W3171895244","https://openalex.org/W3157073971","https://openalex.org/W3143185276","https://openalex.org/W3099865281","https://openalex.org/W3112414780","https://openalex.org/W2955976549","https://openalex.org/W3015899030","https://openalex.org/W2013261143","https://openalex.org/W3165000162","https://openalex.org/W3088661541"],"abstract_inverted_index":{"In":[0],"this":[1,28],"paper,":[2],"we":[3,30,86,135,152],"propose":[4,31],"TGAN":[5],"a":[6,34,39,63,88,183],"tensor-based":[7],"method":[8],"for":[9],"modeling":[10],"the":[11,71,74,105,115,119,154,160,180,185,194],"latent":[12,25,49,107,121],"space":[13,108,122],"of":[14,73,97,109,118,182],"generative":[15],"models.":[16,150],"The":[17],"objective":[18],"is":[19,45,169,191],"to":[20,32,100,126,142,193],"identify":[21],"semantic":[22],"directions":[23],"in":[24],"space.":[26,50],"To":[27],"end,":[29],"fit":[33],"multilinear":[35,75,149],"tensor":[36,76,91],"model":[37,77,128],"on":[38,55,58,145],"structured":[40,64],"facial":[41,65],"expression":[42,66,155,161],"database,":[43],"which":[44],"initially":[46],"embedded":[47],"into":[48,123],"We":[51,68,111,174],"validate":[52],"our":[53,102,140,189],"approach":[54,103,141,190],"StyleGAN":[56],"trained":[57],"FFHQ":[59],"using":[60],"BU-3DFE":[61],"as":[62,94],"database.":[67],"show":[69,112,176],"how":[70],"parameters":[72],"can":[78],"be":[79],"approximated":[80],"by":[81,178],"Alternating":[82],"Least":[83],"Squares.":[84],"Further,":[85],"introduce":[87],"stacked":[89],"style-separated":[90],"model,":[92],"defined":[93],"an":[95,165],"ensemble":[96],"style-specific":[98],"models":[99],"integrate":[101],"with":[104,171],"extended":[106,120],"StyleGAN.":[110],"that":[113,159,168,177],"taking":[114],"individual":[116],"styles":[117],"account":[124],"leads":[125],"higher":[127],"flexibility":[129],"and":[130,148,157],"lower":[131],"reconstruction":[132],"error.":[133],"Finally,":[134],"do":[136],"several":[137],"experiments":[138],"comparing":[139],"former":[143],"work":[144],"both":[146],"GANs":[147],"Concretely,":[151],"analyze":[153],"subspace":[156],"find":[158],"trajectories":[162],"meet":[163],"at":[164],"apathetic":[166],"face":[167],"consistent":[170],"earlier":[172],"work.":[173],"also":[175],"changing":[179],"pose":[181],"person,":[184],"generated":[186],"image":[187],"from":[188,199],"closer":[192],"ground":[195],"truth":[196],"than":[197],"results":[198],"two":[200],"competing":[201],"approaches.":[202]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}