{"id":"https://openalex.org/W7133295492","doi":"https://doi.org/10.1109/ijcb65343.2025.11411365","title":"Facial Demorphing from a Single Morph Using a Latent Conditional GAN","display_name":"Facial Demorphing from a Single Morph Using a Latent Conditional GAN","publication_year":2025,"publication_date":"2025-09-08","ids":{"openalex":"https://openalex.org/W7133295492","doi":"https://doi.org/10.1109/ijcb65343.2025.11411365"},"language":null,"primary_location":{"id":"doi:10.1109/ijcb65343.2025.11411365","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb65343.2025.11411365","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Joint Conference on Biometrics (IJCB)","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/A5002382519","display_name":"Nitish Shukla","orcid":null},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nitish Shukla","raw_affiliation_strings":["Michigan State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5128014519","display_name":"Arun Ross","orcid":null},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arun Ross","raw_affiliation_strings":["Michigan State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87216513"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.65431515,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9556999802589417,"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":0.9556999802589417,"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":0.02070000022649765,"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":0.006000000052154064,"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/face","display_name":"Face (sociological concept)","score":0.6370999813079834},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5626999735832214},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5383999943733215},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48069998621940613},{"id":"https://openalex.org/keywords/high-fidelity","display_name":"High fidelity","score":0.47690001130104065},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.4634999930858612}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7099999785423279},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6962000131607056},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6370999813079834},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5626999735832214},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5383999943733215},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48069998621940613},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.47690001130104065},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.4634999930858612},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.454800009727478},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4043000042438507},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.3993000090122223},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.3456000089645386},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.2815999984741211},{"id":"https://openalex.org/C138777275","wikidata":"https://www.wikidata.org/wiki/Q6884054","display_name":"Mixing (physics)","level":2,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcb65343.2025.11411365","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb65343.2025.11411365","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Joint Conference on Biometrics (IJCB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1976230226","https://openalex.org/W2231022520","https://openalex.org/W2341528187","https://openalex.org/W2738882920","https://openalex.org/W2783693055","https://openalex.org/W2793954314","https://openalex.org/W2798966709","https://openalex.org/W2810011391","https://openalex.org/W2902998115","https://openalex.org/W2940860112","https://openalex.org/W2962770929","https://openalex.org/W2962834855","https://openalex.org/W2963073614","https://openalex.org/W2963336095","https://openalex.org/W2963775347","https://openalex.org/W2969985801","https://openalex.org/W2976439153","https://openalex.org/W3006386710","https://openalex.org/W3009760458","https://openalex.org/W3024925547","https://openalex.org/W3035357254","https://openalex.org/W3035574324","https://openalex.org/W3083081277","https://openalex.org/W3097243384","https://openalex.org/W3154227470","https://openalex.org/W3184140378","https://openalex.org/W4250482878","https://openalex.org/W4293363567","https://openalex.org/W4312402191","https://openalex.org/W4312933868","https://openalex.org/W4316924430","https://openalex.org/W4382053123","https://openalex.org/W4387849147","https://openalex.org/W4392411921","https://openalex.org/W4395011613","https://openalex.org/W4401897903","https://openalex.org/W4402727324","https://openalex.org/W4404239164","https://openalex.org/W4409917747","https://openalex.org/W4413018101"],"related_works":[],"abstract_inverted_index":{"A":[0],"morph":[1,32,86,99,113,125,137,162],"is":[2,22,70],"created":[3,134,148,156],"by":[4,169],"combining":[5],"two":[6,12],"(or":[7,13],"more)":[8,14],"face":[9,140,178],"images":[10,68,133],"from":[11,84,135,149,157],"identities":[15],"to":[16,25,33,49,73,93,97,131],"create":[17],"a":[18,51,78,124,170],"composite":[19],"image":[20],"that":[21,103],"highly":[23],"similar":[24,96],"all":[26],"constituent":[27,58,67],"identities,":[28],"allowing":[29,129],"the":[30,57,62,66,85,90,98,111],"forged":[31],"be":[34,47],"biometrically":[35],"associated":[36],"with":[37],"more":[38],"than":[39],"one":[40],"individual.":[41],"Morph":[42],"Attack":[43],"Detection":[44],"(MAD)":[45],"can":[46],"used":[48],"detect":[50],"morph,":[52],"but":[53],"does":[54],"not":[55],"reveal":[56],"images.":[59,179],"Demorphing":[60],"-":[61,69],"process":[63],"of":[64],"deducing":[65],"thus":[71],"vital":[72],"provide":[74],"additional":[75],"evidence":[76],"about":[77],"morph.":[79],"Existing":[80],"demorphing":[81],"methods":[82,168],"suffer":[83],"replication":[87],"problem,":[88],"where":[89],"outputs":[91],"tend":[92],"look":[94],"very":[95],"itself,":[100],"or":[101],"assume":[102],"train":[104,143],"and":[105,139,152,173],"test":[106,153],"morphs":[107,147,155],"are":[108],"generated":[109],"using":[110,160],"same":[112],"technique.":[114],"The":[115,121],"proposed":[116],"method":[117,122,145,165],"overcomes":[118],"these":[119],"issues.":[120],"decomposes":[123],"in":[126],"latent":[127],"space":[128],"it":[130],"demorph":[132],"unseen":[136],"techniques":[138],"styles.":[141],"We":[142],"our":[144],"on":[146,154],"synthetic":[150],"faces":[151,159],"real":[158],"different":[161],"techniques.":[163],"Our":[164],"outperforms":[166],"existing":[167],"considerable":[171],"margin":[172],"produces":[174],"high":[175],"fidelity":[176],"demorphed":[177]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2026-03-04T00:00:00"}
