{"id":"https://openalex.org/W4415124037","doi":"https://doi.org/10.1109/access.2025.3621108","title":"UGA-GAN: Unified Geometry-Aware GAN for Enhanced Training and Generation of High-Dimensional Data","display_name":"UGA-GAN: Unified Geometry-Aware GAN for Enhanced Training and Generation of High-Dimensional Data","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415124037","doi":"https://doi.org/10.1109/access.2025.3621108"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3621108","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3621108","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3621108","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119975237","display_name":"Wasi Ahmad","orcid":null},"institutions":[{"id":"https://openalex.org/I17477748","display_name":"Rajshahi University of Engineering and Technology","ror":"https://ror.org/049ysg747","country_code":"BD","type":"education","lineage":["https://openalex.org/I17477748"]},{"id":"https://openalex.org/I4210155105","display_name":"Rajshahi University of Engineering and Technology","ror":null,"country_code":"BD","type":null,"lineage":["https://openalex.org/I4210155105"]},{"id":"https://openalex.org/I902853133","display_name":"University of Rajshahi","ror":"https://ror.org/05nnyr510","country_code":"BD","type":"education","lineage":["https://openalex.org/I902853133"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Wasi Ahmad","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh","Department of Electrical and Computer Engineering, Rajshahi University of Engineering and Technology, Rahshai, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh","institution_ids":["https://openalex.org/I17477748"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rajshahi University of Engineering and Technology, Rahshai, Bangladesh","institution_ids":["https://openalex.org/I4210155105","https://openalex.org/I902853133"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017018760","display_name":"Md. Faysal Ahamed","orcid":"https://orcid.org/0000-0002-7014-3205"},"institutions":[{"id":"https://openalex.org/I17477748","display_name":"Rajshahi University of Engineering and Technology","ror":"https://ror.org/049ysg747","country_code":"BD","type":"education","lineage":["https://openalex.org/I17477748"]},{"id":"https://openalex.org/I4210155105","display_name":"Rajshahi University of Engineering and Technology","ror":null,"country_code":"BD","type":null,"lineage":["https://openalex.org/I4210155105"]},{"id":"https://openalex.org/I902853133","display_name":"University of Rajshahi","ror":"https://ror.org/05nnyr510","country_code":"BD","type":"education","lineage":["https://openalex.org/I902853133"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md. Faysal Ahamed","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh","Department of Electrical and Computer Engineering, Rajshahi University of Engineering and Technology, Rahshai, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh","institution_ids":["https://openalex.org/I17477748"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rajshahi University of Engineering and Technology, Rahshai, Bangladesh","institution_ids":["https://openalex.org/I4210155105","https://openalex.org/I902853133"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003290346","display_name":"Amith Khandakar","orcid":null},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Amith Khandakar","raw_affiliation_strings":["Department of Electrical Engineering, College of Engineering, Qatar University, Doha, Qatar","Department of Electrical Engineering, Qatar University, Doha, Qatar"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, College of Engineering, Qatar University, Doha, Qatar","institution_ids":["https://openalex.org/I60342839"]},{"raw_affiliation_string":"Department of Electrical Engineering, Qatar University, Doha, Qatar","institution_ids":["https://openalex.org/I60342839"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017192938","display_name":"SM Ashfaq Uz Zaman","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099523","display_name":"Gulf English School","ror":"https://ror.org/0160gm722","country_code":"QA","type":"education","lineage":["https://openalex.org/I4210099523"]},{"id":"https://openalex.org/I4210113049","display_name":"Armed Forces Hospital","ror":"https://ror.org/024eyyq66","country_code":"SA","type":"healthcare","lineage":["https://openalex.org/I4210113049"]}],"countries":["QA","SA"],"is_corresponding":false,"raw_author_name":"SM Ashfaq Uz Zaman","raw_affiliation_strings":["Qatar Emiri Naval Forces, Gulf Arabian, Doha, Qatar","Qatar Emiri Naval Forces Qatar Armed Forces Gulf Arabian, Doha, Qatar"],"affiliations":[{"raw_affiliation_string":"Qatar Emiri Naval Forces, Gulf Arabian, Doha, Qatar","institution_ids":["https://openalex.org/I4210099523"]},{"raw_affiliation_string":"Qatar Emiri Naval Forces Qatar Armed Forces Gulf Arabian, Doha, Qatar","institution_ids":["https://openalex.org/I4210113049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085708361","display_name":"Mohamed Arselene Ayari","orcid":"https://orcid.org/0000-0002-8663-886X"},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Mohamed Arselene Ayari","raw_affiliation_strings":["Department of Civil and Environmental Engineering, College of Engineering, Qatar University, Doha, Qatar","Department of Civil and Environmental Engineering Qatar University, Doha, Qatar"],"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, College of Engineering, Qatar University, Doha, Qatar","institution_ids":["https://openalex.org/I60342839"]},{"raw_affiliation_string":"Department of Civil and Environmental Engineering Qatar University, Doha, Qatar","institution_ids":["https://openalex.org/I60342839"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5119975237"],"corresponding_institution_ids":["https://openalex.org/I17477748","https://openalex.org/I4210155105","https://openalex.org/I902853133"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28364119,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"179932","last_page":"179943"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9549999833106995,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9549999833106995,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9440000057220459,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5271000266075134},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5123000144958496},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.49320000410079956},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.45730000734329224},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4487999975681305},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.423799991607666},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.40450000762939453},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.39149999618530273},{"id":"https://openalex.org/keywords/data-driven","display_name":"Data-driven","score":0.3880000114440918},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3765000104904175}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8217999935150146},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5271000266075134},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5123000144958496},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5062999725341797},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.49320000410079956},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47909998893737793},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.45730000734329224},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4487999975681305},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.423799991607666},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.40450000762939453},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.39149999618530273},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.3880000114440918},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3765000104904175},{"id":"https://openalex.org/C2988382989","wikidata":"https://www.wikidata.org/wiki/Q370685","display_name":"Data space","level":2,"score":0.3709999918937683},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.3702000081539154},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.3529999852180481},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.34929999709129333},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.3409999907016754},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.33709999918937683},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3361999988555908},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.3325999975204468},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3230000138282776},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.32170000672340393},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.32109999656677246},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3190000057220459},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.31520000100135803},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3091999888420105},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30799999833106995},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.2888999879360199},{"id":"https://openalex.org/C68028875","wikidata":"https://www.wikidata.org/wiki/Q7572595","display_name":"Space mapping","level":2,"score":0.2888000011444092},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.27720001339912415},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.27300000190734863},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.2703000009059906},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.26080000400543213},{"id":"https://openalex.org/C2778915421","wikidata":"https://www.wikidata.org/wiki/Q3643177","display_name":"Performance improvement","level":2,"score":0.259799987077713},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.25679999589920044},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3621108","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3621108","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:deb39d12bcc14107a733b58e7b3baf48","is_oa":true,"landing_page_url":"https://doaj.org/article/deb39d12bcc14107a733b58e7b3baf48","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 179932-179943 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3621108","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3621108","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Generative":[0,55],"Adversarial":[1,56],"Networks":[2],"(GANs)":[3],"have":[4],"shown":[5],"impressive":[6],"performance":[7,81,214],"in":[8,40,126,168],"generating":[9],"realistic":[10],"data":[11,89,165],"across":[12],"various":[13],"domains.":[14],"However,":[15],"they":[16],"suffer":[17],"from":[18],"key":[19],"challenges":[20],"such":[21,170,205],"as":[22,171,206],"mode":[23,152],"collapse,":[24],"latent":[25,63,95],"space":[26,64,96],"disorganization,":[27],"and":[28,37,66,93,98,120,136,147,176,199,209],"geometric":[29,101],"inconsistency,":[30],"which":[31,59],"hinder":[32],"the":[33,52,87,107,157],"generation":[34,166],"of":[35,159],"high-fidelity":[36],"diverse":[38,148],"samples":[39,85,149],"complex,":[41],"high-dimensional":[42,164],"datasets.":[43],"In":[44],"this":[45],"paper,":[46],"we":[47],"introduce":[48],"a":[49,75,123],"novel":[50],"framework,":[51],"Unified":[53],"Geometry-Aware":[54],"Network":[57],"(UGA-GAN),":[58],"integrates":[60],"manifold":[61],"learning,":[62],"regularization,":[65],"geometry-aware":[67],"discrimination":[68],"to":[69,161,196],"address":[70],"these":[71],"challenges.":[72],"We":[73],"propose":[74],"unified":[76],"architecture":[77],"that":[78,111,142],"enhances":[79],"GAN":[80],"by":[82],"aligning":[83],"generated":[84],"with":[86,150,202],"underlying":[88],"manifold,":[90],"promoting":[91],"smooth":[92],"interpretable":[94],"representations,":[97],"ensuring":[99],"global":[100],"consistency.":[102],"Our":[103],"experimental":[104],"evaluation":[105],"on":[106,189],"CIFAR-10":[108],"dataset":[109],"demonstrates":[110],"UGA-GAN":[112,143,160,181],"outperforms":[113],"several":[114],"baseline":[115],"models,":[116],"including":[117],"DCGAN,":[118],"WGAN,":[119],"LSGAN,":[121],"achieving":[122],"37.97%":[124],"reduction":[125],"Fr\u00e9chet":[127],"Inception":[128],"Distance":[129],"(FID)":[130],"score,":[131],"indicating":[132],"superior":[133],"sample":[134],"quality":[135],"diversity.":[137],"Furthermore,":[138],"t-SNE":[139],"visualizations":[140],"confirm":[141],"generates":[144],"more":[145],"coherent":[146],"better":[151],"coverage.":[153],"These":[154],"results":[155],"highlight":[156],"potential":[158],"significantly":[162],"improve":[163],"tasks":[167],"domains":[169],"medical":[172],"imaging,":[173],"video":[174],"generation,":[175],"3D":[177],"object":[178],"synthesis.":[179],"While":[180],"presents":[182],"state-of-the-art":[183],"performance,":[184],"future":[185],"work":[186],"will":[187],"focus":[188],"optimizing":[190],"its":[191],"computational":[192],"efficiency,":[193],"scaling":[194],"it":[195,201],"larger":[197],"datasets,":[198],"integrating":[200],"emerging":[203],"models":[204],"diffusion":[207],"networks":[208],"reinforcement":[210],"learning":[211],"for":[212],"further":[213],"enhancement.":[215]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-14T00:00:00"}