{"id":"https://openalex.org/W4402661235","doi":"https://doi.org/10.1109/lsp.2024.3461648","title":"Pair-ID: A Dual Modal Framework for Identity Preserving Image Generation","display_name":"Pair-ID: A Dual Modal Framework for Identity Preserving Image Generation","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402661235","doi":"https://doi.org/10.1109/lsp.2024.3461648"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2024.3461648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3461648","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-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":null,"display_name":"Jingyu Lin","orcid":"https://orcid.org/0000-0003-1897-4148"},"institutions":[{"id":"https://openalex.org/I15089104","display_name":"China Aerospace Science and Industry Corporation (China)","ror":"https://ror.org/0523vvf33","country_code":"CN","type":"company","lineage":["https://openalex.org/I15089104"]},{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingyu Lin","raw_affiliation_strings":["School of Informatics, Xiamen University, Fujian, China","Intelligent Science &amp; Technology Academy of CASIC, China"],"raw_orcid":"https://orcid.org/0000-0003-1897-4148","affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University, Fujian, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Intelligent Science &amp; Technology Academy of CASIC, China","institution_ids":["https://openalex.org/I15089104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111230361","display_name":"Yongrong Wu","orcid":"https://orcid.org/0000-0001-9176-496X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongrong Wu","raw_affiliation_strings":["School of Informatics, Xiamen University, Fujian, China","School of Informatics, Xiamen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University, Fujian, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"School of Informatics, Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zeyu Wang","orcid":"https://orcid.org/0000-0003-0985-4478"},"institutions":[{"id":"https://openalex.org/I15089104","display_name":"China Aerospace Science and Industry Corporation (China)","ror":"https://ror.org/0523vvf33","country_code":"CN","type":"company","lineage":["https://openalex.org/I15089104"]},{"id":"https://openalex.org/I2802615301","display_name":"China Aerospace Science and Technology Corporation","ror":"https://ror.org/01z8tr155","country_code":"CN","type":"government","lineage":["https://openalex.org/I2802615301"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeyu Wang","raw_affiliation_strings":["Intelligent Science &amp; Technology Academy, CASIC, Beijing, China","Intelligent Science &amp; Technology Academy of CASIC, China"],"raw_orcid":"https://orcid.org/0000-0003-0985-4478","affiliations":[{"raw_affiliation_string":"Intelligent Science &amp; Technology Academy, CASIC, Beijing, China","institution_ids":["https://openalex.org/I2802615301"]},{"raw_affiliation_string":"Intelligent Science &amp; Technology Academy of CASIC, China","institution_ids":["https://openalex.org/I15089104"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiaode Liu","orcid":"https://orcid.org/0000-0002-5645-287X"},"institutions":[{"id":"https://openalex.org/I15089104","display_name":"China Aerospace Science and Industry Corporation (China)","ror":"https://ror.org/0523vvf33","country_code":"CN","type":"company","lineage":["https://openalex.org/I15089104"]},{"id":"https://openalex.org/I2802615301","display_name":"China Aerospace Science and Technology Corporation","ror":"https://ror.org/01z8tr155","country_code":"CN","type":"government","lineage":["https://openalex.org/I2802615301"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaode Liu","raw_affiliation_strings":["Intelligent Science &amp; Technology Academy, CASIC, Beijing, China","Intelligent Science &amp; Technology Academy of CASIC, China"],"raw_orcid":"https://orcid.org/0000-0002-5645-287X","affiliations":[{"raw_affiliation_string":"Intelligent Science &amp; Technology Academy, CASIC, Beijing, China","institution_ids":["https://openalex.org/I2802615301"]},{"raw_affiliation_string":"Intelligent Science &amp; Technology Academy of CASIC, China","institution_ids":["https://openalex.org/I15089104"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025897338","display_name":"Yufei Guo","orcid":"https://orcid.org/0000-0001-7002-1710"},"institutions":[{"id":"https://openalex.org/I15089104","display_name":"China Aerospace Science and Industry Corporation (China)","ror":"https://ror.org/0523vvf33","country_code":"CN","type":"company","lineage":["https://openalex.org/I15089104"]},{"id":"https://openalex.org/I2802615301","display_name":"China Aerospace Science and Technology Corporation","ror":"https://ror.org/01z8tr155","country_code":"CN","type":"government","lineage":["https://openalex.org/I2802615301"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufei Guo","raw_affiliation_strings":["Intelligent Science &amp; Technology Academy, CASIC, Beijing, China","Intelligent Science &amp; Technology Academy of CASIC, China"],"raw_orcid":"https://orcid.org/0000-0001-7002-1710","affiliations":[{"raw_affiliation_string":"Intelligent Science &amp; Technology Academy, CASIC, Beijing, China","institution_ids":["https://openalex.org/I2802615301"]},{"raw_affiliation_string":"Intelligent Science &amp; Technology Academy of CASIC, China","institution_ids":["https://openalex.org/I15089104"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I15089104","https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.9499,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76456874,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"31","issue":null,"first_page":"2715","last_page":"2719"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9714000225067139,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9714000225067139,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9682999849319458,"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/dual","display_name":"Dual (grammatical number)","score":0.6066147089004517},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6025251150131226},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5893549919128418},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.5027074813842773},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48126858472824097},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4303072690963745},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.420250803232193},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32576391100883484},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09093418717384338},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.08242374658584595}],"concepts":[{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6066147089004517},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6025251150131226},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5893549919128418},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.5027074813842773},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48126858472824097},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4303072690963745},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.420250803232193},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32576391100883484},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09093418717384338},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.08242374658584595},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2024.3461648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3461648","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6100000143051147,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1384122610","display_name":null,"funder_award_id":"12202413","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8431912857","display_name":null,"funder_award_id":"12202412","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2096733369","https://openalex.org/W2904856314","https://openalex.org/W2940551087","https://openalex.org/W2950689937","https://openalex.org/W2962898354","https://openalex.org/W2969985801","https://openalex.org/W2995936506","https://openalex.org/W3021195052","https://openalex.org/W3034552680","https://openalex.org/W3153171492","https://openalex.org/W3159018159","https://openalex.org/W3161402421","https://openalex.org/W3180355996","https://openalex.org/W4298858017","https://openalex.org/W4312933868","https://openalex.org/W4321020777","https://openalex.org/W4368358283","https://openalex.org/W4386072096","https://openalex.org/W4389539268","https://openalex.org/W4389539696","https://openalex.org/W4402703076","https://openalex.org/W4402727368","https://openalex.org/W4403792326","https://openalex.org/W6631190155","https://openalex.org/W6779823529","https://openalex.org/W6783713337","https://openalex.org/W6791353385","https://openalex.org/W6876206830"],"related_works":["https://openalex.org/W2317351040","https://openalex.org/W2379392295","https://openalex.org/W3160965418","https://openalex.org/W613940353","https://openalex.org/W2320915480","https://openalex.org/W2952466936","https://openalex.org/W1988622314","https://openalex.org/W2393949104","https://openalex.org/W3046201198","https://openalex.org/W2352553236"],"abstract_inverted_index":{"The":[0,96],"acquisition":[1],"of":[2,33,67],"large-scale":[3],"paired":[4,68,124],"visible":[5,21,69],"and":[6,36,70,80,92,107,121],"thermal":[7,34,71],"images":[8,23,35],"is":[9,28],"crucial":[10],"for":[11,39,64,84,123,132],"enhancing":[12],"face":[13,133],"recognition":[14,134],"systems,":[15],"especially":[16],"in":[17,119],"low-light":[18],"environments":[19],"where":[20],"spectrum":[22],"fail.":[24],"However,":[25],"the":[26,31,37,89],"task":[27],"hindered":[29],"by":[30,58],"scarcity":[32],"need":[38],"identity":[40,75],"consistency":[41],"during":[42],"image":[43,105],"generation.":[44],"In":[45],"this":[46],"paper,":[47],"we":[48],"propose":[49],"Pair-ID,":[50],"an":[51],"innovative":[52],"framework":[53],"that":[54,114],"addresses":[55],"these":[56],"challenges":[57],"creating":[59],"a":[60,129],"shared":[61],"latent":[62],"space":[63],"simultaneous":[65],"generation":[66,106],"images.":[72],"Pair-ID":[73,115],"integrates":[74],"information":[76],"into":[77],"text":[78],"embeddings":[79],"employs":[81],"fixed":[82],"templates":[83],"diverse":[85],"facial":[86,109],"poses,":[87],"streamlining":[88],"customization":[90],"process":[91],"reducing":[93],"computational":[94],"demands.":[95],"framework's":[97],"Joint":[98],"Learner":[99],"encodes":[100],"both":[101],"modalities,":[102],"facilitating":[103],"synchronized":[104],"preserving":[108],"details.":[110],"Extensive":[111],"evaluations":[112],"show":[113],"surpasses":[116],"current":[117],"methods":[118],"efficiency":[120],"performance":[122],"data":[125],"generation,":[126],"making":[127],"it":[128],"promising":[130],"solution":[131],"under":[135],"varying":[136],"lighting":[137],"conditions.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-26T08:31:28.666265","created_date":"2025-10-10T00:00:00"}
