{"id":"https://openalex.org/W3001909981","doi":"https://doi.org/10.1109/tcyb.2020.3000480","title":"Toward a Controllable Disentanglement Network","display_name":"Toward a Controllable Disentanglement Network","publication_year":2020,"publication_date":"2020-07-15","ids":{"openalex":"https://openalex.org/W3001909981","doi":"https://doi.org/10.1109/tcyb.2020.3000480","mag":"3001909981","pmid":"https://pubmed.ncbi.nlm.nih.gov/32667884"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2020.3000480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.3000480","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zengjie Song","orcid":"https://orcid.org/0000-0002-7914-3252"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zengjie Song","raw_affiliation_strings":["School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Oluwasanmi Koyejo","orcid":"https://orcid.org/0000-0002-4023-419X"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Oluwasanmi Koyejo","raw_affiliation_strings":["Department of Computer Science, University of Illinois at Urbana–Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois at Urbana–Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jiangshe Zhang","orcid":"https://orcid.org/0000-0002-8395-1180"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangshe Zhang","raw_affiliation_strings":["School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.4907,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.64578221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"52","issue":"4","first_page":"2491","last_page":"2504"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.6923999786376953,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.6923999786376953,"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":0.16279999911785126,"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":0.06549999862909317,"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/decorrelation","display_name":"Decorrelation","score":0.7422999739646912},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6424999833106995},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6266000270843506},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5874000191688538},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5418999791145325},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4546000063419342},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4194999933242798},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.3797000050544739},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.376800000667572}],"concepts":[{"id":"https://openalex.org/C177860922","wikidata":"https://www.wikidata.org/wiki/Q788608","display_name":"Decorrelation","level":2,"score":0.7422999739646912},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6976000070571899},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6424999833106995},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6266000270843506},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5874000191688538},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5418999791145325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.538100004196167},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4546000063419342},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4194999933242798},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4083999991416931},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3797000050544739},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.376800000667572},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.36169999837875366},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.350600004196167},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.34389999508857727},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3127000033855438},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.3061000108718872},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.28760001063346863},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.2831999957561493},{"id":"https://openalex.org/C200873422","wikidata":"https://www.wikidata.org/wiki/Q5448821","display_name":"Filling-in","level":2,"score":0.27970001101493835},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.27059999108314514},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.26809999346733093},{"id":"https://openalex.org/C2779019669","wikidata":"https://www.wikidata.org/wiki/Q25203946","display_name":"Asynchrony (computer programming)","level":3,"score":0.2639999985694885},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25529998540878296},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.25220000743865967}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2020.3000480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.3000480","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:32667884","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32667884","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1292236401","display_name":null,"funder_award_id":"61877049","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2247690355","display_name":null,"funder_award_id":"11671317","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3380864597","display_name":null,"funder_award_id":"61572393","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8779856710","display_name":null,"funder_award_id":"61976174","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1834627138","https://openalex.org/W1994618660","https://openalex.org/W2112796928","https://openalex.org/W2145979309","https://openalex.org/W2163922914","https://openalex.org/W2339754110","https://openalex.org/W2475287302","https://openalex.org/W2528578439","https://openalex.org/W2737047298","https://openalex.org/W2771558241","https://openalex.org/W2963305465","https://openalex.org/W2963767194","https://openalex.org/W6634589695","https://openalex.org/W6637373629","https://openalex.org/W6637412569","https://openalex.org/W6639732818","https://openalex.org/W6640296361","https://openalex.org/W6640963894","https://openalex.org/W6674330103","https://openalex.org/W6675944832","https://openalex.org/W6682691769","https://openalex.org/W6685352114","https://openalex.org/W6687506355","https://openalex.org/W6702130928","https://openalex.org/W6714590955","https://openalex.org/W6718140377","https://openalex.org/W6718379498","https://openalex.org/W6729906282","https://openalex.org/W6729939709","https://openalex.org/W6735204497","https://openalex.org/W6735913928","https://openalex.org/W6738224273","https://openalex.org/W6739139180","https://openalex.org/W6741977017","https://openalex.org/W6744627333","https://openalex.org/W6745687250","https://openalex.org/W6746569791","https://openalex.org/W6748391871","https://openalex.org/W6751254666","https://openalex.org/W6754560582","https://openalex.org/W6756663807","https://openalex.org/W6780248173"],"related_works":[],"abstract_inverted_index":{"This":[0],"article":[1],"addresses":[2],"two":[3],"crucial":[4],"problems":[5],"of":[6,15,61,82,123,132],"learning":[7],"disentangled":[8],"image":[9,18,54],"representations,":[10],"namely,":[11],"controlling":[12],"the":[13,22,26,40,52,58,62,74,79,91,95,102,106,120,130,133],"degree":[14],"disentanglement":[16,23,121],"during":[17],"editing,":[19],"and":[20,25,105],"balancing":[21],"strength":[24,122],"reconstruction":[27,41],"quality.":[28],"To":[29,77],"encourage":[30],"disentanglement,":[31],"we":[32,66,89],"devise":[33],"distance":[34],"covariance-based":[35],"decorrelation":[36],"regularization.":[37],"Further,":[38],"for":[39],"step,":[42],"our":[43,124],"model":[44],"leverages":[45],"a":[46,114],"soft":[47,63],"target":[48,64],"representation":[49],"combined":[50],"with":[51,73,94],"latent":[53],"code.":[55],"By":[56],"exploring":[57],"real-valued":[59],"space":[60],"representation,":[65],"are":[67],"able":[68],"to":[69,117],"synthesize":[70],"novel":[71],"images":[72,83],"designated":[75],"properties.":[76],"improve":[78],"perceptual":[80],"quality":[81],"generated":[84],"by":[85,100],"autoencoder":[86],"(AE)-based":[87],"models,":[88],"extend":[90],"encoder-decoder":[92],"architecture":[93],"generative":[96],"adversarial":[97],"network":[98],"(GAN)":[99],"collapsing":[101],"AE":[103],"decoder":[104],"GAN":[107],"generator":[108],"into":[109],"one.":[110],"We":[111],"also":[112],"design":[113],"classification-based":[115],"protocol":[116],"quantitatively":[118],"evaluate":[119],"model.":[125,135],"The":[126],"experimental":[127],"results":[128],"showcase":[129],"benefits":[131],"proposed":[134]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2020-01-30T00:00:00"}