{"id":"https://openalex.org/W3123005414","doi":"https://doi.org/10.1109/tip.2021.3052084","title":"Geometrically Editable Face Image Translation With Adversarial Networks","display_name":"Geometrically Editable Face Image Translation With Adversarial Networks","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3123005414","doi":"https://doi.org/10.1109/tip.2021.3052084","mag":"3123005414","pmid":"https://pubmed.ncbi.nlm.nih.gov/33497333"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2021.3052084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3052084","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","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":"https://openalex.org/A5055479345","display_name":"Songyao Jiang","orcid":"https://orcid.org/0000-0001-6289-6509"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Songyao Jiang","raw_affiliation_strings":["Northeastern University, Boston, MA, USA"],"raw_orcid":"https://orcid.org/0000-0001-6289-6509","affiliations":[{"raw_affiliation_string":"Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021486404","display_name":"Zhiqiang Tao","orcid":"https://orcid.org/0000-0002-5639-7540"},"institutions":[{"id":"https://openalex.org/I16269868","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447","country_code":"US","type":"education","lineage":["https://openalex.org/I16269868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiqiang Tao","raw_affiliation_strings":["Santa Clara University, Santa Clara, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-5639-7540","affiliations":[{"raw_affiliation_string":"Santa Clara University, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I16269868"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005819096","display_name":"Yun Fu","orcid":"https://orcid.org/0000-0002-5098-2853"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yun Fu","raw_affiliation_strings":["Khoury College of Computer Science, Northeastern University, Boston, MA, USA","Northeastern University, Boston, MA, USA"],"raw_orcid":"https://orcid.org/0000-0002-5098-2853","affiliations":[{"raw_affiliation_string":"Khoury College of Computer Science, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4133,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.83160936,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"30","issue":null,"first_page":"2771","last_page":"2783"},"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":0.9990000128746033,"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":0.9990000128746033,"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":0.9922000169754028,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9753999710083008,"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":0.7757337093353271},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7005864381790161},{"id":"https://openalex.org/keywords/image-translation","display_name":"Image translation","score":0.6156837344169617},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5802744626998901},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5701602697372437},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.5341718792915344},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5270785689353943},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48141002655029297},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4763489067554474},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4645032584667206},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4481180012226105},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.43856891989707947},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4245336055755615},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.37541794776916504},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3717415928840637},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.3421148359775543}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7757337093353271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7005864381790161},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.6156837344169617},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5802744626998901},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5701602697372437},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.5341718792915344},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5270785689353943},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48141002655029297},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4763489067554474},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4645032584667206},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4481180012226105},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.43856891989707947},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4245336055755615},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.37541794776916504},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3717415928840637},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3421148359775543},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2021.3052084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3052084","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:33497333","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33497333","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.699999988079071,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":85,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1834627138","https://openalex.org/W1959608418","https://openalex.org/W2099471712","https://openalex.org/W2115252128","https://openalex.org/W2125389028","https://openalex.org/W2331128040","https://openalex.org/W2521028896","https://openalex.org/W2548275288","https://openalex.org/W2554423077","https://openalex.org/W2593414223","https://openalex.org/W2596763562","https://openalex.org/W2598581049","https://openalex.org/W2605195953","https://openalex.org/W2625219738","https://openalex.org/W2739748921","https://openalex.org/W2741989495","https://openalex.org/W2744091666","https://openalex.org/W2782980316","https://openalex.org/W2798600195","https://openalex.org/W2805080735","https://openalex.org/W2893749619","https://openalex.org/W2900585237","https://openalex.org/W2906715444","https://openalex.org/W2950776302","https://openalex.org/W2951939904","https://openalex.org/W2952716587","https://openalex.org/W2956776104","https://openalex.org/W2962760235","https://openalex.org/W2962793481","https://openalex.org/W2962879692","https://openalex.org/W2962914604","https://openalex.org/W2962927829","https://openalex.org/W2962947361","https://openalex.org/W2962974533","https://openalex.org/W2963073614","https://openalex.org/W2963125871","https://openalex.org/W2963226019","https://openalex.org/W2963373786","https://openalex.org/W2963444790","https://openalex.org/W2963470893","https://openalex.org/W2963567641","https://openalex.org/W2963767194","https://openalex.org/W2963800363","https://openalex.org/W2963841322","https://openalex.org/W2963981733","https://openalex.org/W2964121744","https://openalex.org/W2964218010","https://openalex.org/W2966028836","https://openalex.org/W2966145721","https://openalex.org/W2966840649","https://openalex.org/W2984529706","https://openalex.org/W3034521057","https://openalex.org/W3034600949","https://openalex.org/W3127511859","https://openalex.org/W4294643831","https://openalex.org/W4295274059","https://openalex.org/W4295312788","https://openalex.org/W4295521014","https://openalex.org/W4297772798","https://openalex.org/W4301206121","https://openalex.org/W4320013936","https://openalex.org/W6631190155","https://openalex.org/W6640963894","https://openalex.org/W6677618333","https://openalex.org/W6678815747","https://openalex.org/W6691096134","https://openalex.org/W6718140377","https://openalex.org/W6718379498","https://openalex.org/W6727501944","https://openalex.org/W6729482032","https://openalex.org/W6729856380","https://openalex.org/W6734074887","https://openalex.org/W6735204497","https://openalex.org/W6735913928","https://openalex.org/W6736155344","https://openalex.org/W6741832134","https://openalex.org/W6745560452","https://openalex.org/W6747733185","https://openalex.org/W6753914649","https://openalex.org/W6755312952","https://openalex.org/W6765779288","https://openalex.org/W6766978945","https://openalex.org/W6770593915","https://openalex.org/W6773594038"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4309969736","https://openalex.org/W2470043383","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W2953501176","https://openalex.org/W2965095304","https://openalex.org/W2280377497","https://openalex.org/W3034474024"],"abstract_inverted_index":{"Recently,":[0],"image-to-image":[1],"translation":[2,116],"has":[3],"received":[4],"increasing":[5],"attention,":[6],"which":[7,53],"aims":[8],"to":[9,15,79,85,92,149,161,174,187,201,205,208,224],"map":[10],"images":[11,99,155,171],"in":[12,60,121,235],"one":[13],"domain":[14],"another":[16],"specific":[17,41],"one.":[18],"Existing":[19],"methods":[20,67],"mainly":[21],"solve":[22,150],"this":[23,151],"task":[24],"via":[25,178],"a":[26,64,93,133,140,179,182],"deep":[27],"generative":[28],"model":[29,148],"that":[30,131],"they":[31],"focus":[32],"on":[33,191,221],"exploring":[34],"the":[35,88,113,192,203,209,229],"bi-directional":[36],"or":[37,50],"multi-directional":[38],"relationship":[39],"between":[40],"domains.":[42],"Those":[43],"domains":[44],"are":[45,68,172,199],"often":[46],"categorized":[47],"by":[48,156],"attribute-level":[49],"class-level":[51],"labels,":[52],"do":[54],"not":[55],"incorporate":[56],"any":[57],"geometric":[58,72,123,165,230],"information":[59,84,190],"learning":[61],"process.":[62],"As":[63],"result,":[65],"existing":[66],"incapable":[69],"of":[70,96,100,211,228],"editing":[71],"contents":[73],"during":[74],"translation.":[75],"They":[76],"also":[77],"neglect":[78],"utilize":[80],"higher-level":[81],"and":[82,124,195,218,232],"instance-specific":[83],"further":[86],"guide":[87,163],"training":[89],"process,":[90],"leading":[91],"great":[94],"deal":[95],"unrealistic":[97],"synthesized":[98],"low":[101],"fidelity,":[102],"especially":[103],"for":[104,153],"face":[105,154,170],"images.":[106],"To":[107],"address":[108],"these":[109],"challenges,":[110],"we":[111,138],"formulate":[112],"general":[114],"image":[115,129,236],"problem":[117,152],"as":[118],"multi-domain":[119],"mappings":[120],"both":[122,216],"attribute":[125],"directions":[126],"within":[127],"an":[128],"set":[130],"shares":[132],"same":[134],"latent":[135,176],"vector.":[136],"Particularly,":[137],"propose":[139],"novel":[141],"Geometrically":[142],"Editable":[143],"Generative":[144],"Adversarial":[145],"Networks":[146],"(GEGAN)":[147],"leveraging":[157],"facial":[158],"semantic":[159,189],"segmentation":[160],"explicitly":[162],"its":[164],"editing.":[166],"In":[167],"details,":[168],"input":[169],"encoded":[173],"their":[175],"representations":[177],"variational":[180],"autoencoder,":[181],"segmentor":[183],"network":[184],"is":[185],"designed":[186],"impose":[188],"generated":[193],"images,":[194],"multi-scale":[196],"regional":[197],"discriminators":[198],"employed":[200],"force":[202],"generator":[204],"pay":[206],"attention":[207],"details":[210],"key":[212],"components.":[213],"We":[214],"provide":[215],"quantitative":[217],"qualitative":[219],"evaluations":[220],"CelebA":[222],"dataset":[223],"demonstrate":[225],"our":[226,233],"ability":[227],"modification":[231],"improvement":[234],"fidelity.":[237]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
