{"id":"https://openalex.org/W2995545297","doi":"https://doi.org/10.1109/access.2019.2958864","title":"Dualattn-GAN: Text to Image Synthesis With Dual Attentional Generative Adversarial Network","display_name":"Dualattn-GAN: Text to Image Synthesis With Dual Attentional Generative Adversarial Network","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2995545297","doi":"https://doi.org/10.1109/access.2019.2958864","mag":"2995545297"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2958864","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2958864","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08930532.pdf","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://ieeexplore.ieee.org/ielx7/6287639/8600701/08930532.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061531085","display_name":"Yali Cai","orcid":"https://orcid.org/0000-0002-8323-8182"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yali Cai","raw_affiliation_strings":["Beijing Key Laboratory of Network System and Network Culture, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8323-8182","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Network System and Network Culture, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102020015","display_name":"Xiaoru Wang","orcid":"https://orcid.org/0000-0001-7171-2783"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoru Wang","raw_affiliation_strings":["Beijing Key Laboratory of Network System and Network Culture, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7171-2783","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Network System and Network Culture, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084987579","display_name":"Zhihong Yu","orcid":"https://orcid.org/0000-0002-6379-1976"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhihong Yu","raw_affiliation_strings":["Intel China Research Center, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6379-1976","affiliations":[{"raw_affiliation_string":"Intel China Research Center, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100324309","display_name":"Fu Li","orcid":"https://orcid.org/0000-0001-8819-0547"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fu Li","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Portland States University, Portland, USA"],"raw_orcid":"https://orcid.org/0000-0001-8819-0547","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Portland States University, Portland, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023475558","display_name":"Peirong Xu","orcid":"https://orcid.org/0000-0001-9080-5803"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peirong Xu","raw_affiliation_strings":["Beijing Key Laboratory of Network System and Network Culture, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9080-5803","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Network System and Network Culture, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102949073","display_name":"Yueli Li","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yueli Li","raw_affiliation_strings":["Beijing Key Laboratory of Network System and Network Culture, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9608-3741","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Network System and Network Culture, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048244553","display_name":"Lixian Li","orcid":"https://orcid.org/0000-0001-9305-9287"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lixian Li","raw_affiliation_strings":["Beijing Key Laboratory of Network System and Network Culture, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9305-9287","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Network System and Network Culture, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5061531085"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.7555,"has_fulltext":true,"cited_by_count":56,"citation_normalized_percentile":{"value":0.92706216,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"183706","last_page":"183716"},"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":0.9997000098228455,"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":0.9997000098228455,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9921000003814697,"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":0.9865000247955322,"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":0.6749832630157471},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6746506690979004},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6463854312896729},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.6336511373519897},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5897396802902222},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46800485253334045},{"id":"https://openalex.org/keywords/image-synthesis","display_name":"Image synthesis","score":0.4296565055847168},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4232769012451172},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35602039098739624},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3250443935394287},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1751006841659546}],"concepts":[{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6749832630157471},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6746506690979004},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6463854312896729},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.6336511373519897},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5897396802902222},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46800485253334045},{"id":"https://openalex.org/C2989087649","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Image synthesis","level":3,"score":0.4296565055847168},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4232769012451172},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35602039098739624},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3250443935394287},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1751006841659546},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2958864","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2958864","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08930532.pdf","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:01ceca23dcf2413eabb3397545450617","is_oa":true,"landing_page_url":"https://doaj.org/article/01ceca23dcf2413eabb3397545450617","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 183706-183716 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2958864","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2958864","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08930532.pdf","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":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.49000000953674316}],"awards":[{"id":"https://openalex.org/G3731845505","display_name":null,"funder_award_id":"61672108","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2995545297.pdf","grobid_xml":"https://content.openalex.org/works/W2995545297.grobid-xml"},"referenced_works_count":92,"referenced_works":["https://openalex.org/W1514535095","https://openalex.org/W1797268635","https://openalex.org/W1959608418","https://openalex.org/W2099471712","https://openalex.org/W2125389028","https://openalex.org/W2163605009","https://openalex.org/W2172010943","https://openalex.org/W2173520492","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2293453011","https://openalex.org/W2405756170","https://openalex.org/W2418098761","https://openalex.org/W2423557781","https://openalex.org/W2533598788","https://openalex.org/W2548275288","https://openalex.org/W2557449848","https://openalex.org/W2567070169","https://openalex.org/W2598991778","https://openalex.org/W2739748921","https://openalex.org/W2785678896","https://openalex.org/W2804078698","https://openalex.org/W2884585870","https://openalex.org/W2891158090","https://openalex.org/W2893749619","https://openalex.org/W2949999304","https://openalex.org/W2950776302","https://openalex.org/W2951523806","https://openalex.org/W2951527505","https://openalex.org/W2952716587","https://openalex.org/W2962741254","https://openalex.org/W2962750131","https://openalex.org/W2962760235","https://openalex.org/W2962770929","https://openalex.org/W2962793481","https://openalex.org/W2962879692","https://openalex.org/W2962970253","https://openalex.org/W2963073614","https://openalex.org/W2963143316","https://openalex.org/W2963163009","https://openalex.org/W2963163163","https://openalex.org/W2963191264","https://openalex.org/W2963226019","https://openalex.org/W2963373786","https://openalex.org/W2963413689","https://openalex.org/W2963470893","https://openalex.org/W2963636093","https://openalex.org/W2963684088","https://openalex.org/W2963836885","https://openalex.org/W2963954913","https://openalex.org/W2963966654","https://openalex.org/W2963970792","https://openalex.org/W2963981733","https://openalex.org/W2964024144","https://openalex.org/W4294643831","https://openalex.org/W4295521014","https://openalex.org/W4297752781","https://openalex.org/W4300838842","https://openalex.org/W4301206121","https://openalex.org/W4320013936","https://openalex.org/W6621378261","https://openalex.org/W6630875275","https://openalex.org/W6638319203","https://openalex.org/W6639118987","https://openalex.org/W6640963894","https://openalex.org/W6678815747","https://openalex.org/W6682137061","https://openalex.org/W6683074461","https://openalex.org/W6684191040","https://openalex.org/W6685176027","https://openalex.org/W6685352114","https://openalex.org/W6697449767","https://openalex.org/W6713645886","https://openalex.org/W6717255582","https://openalex.org/W6718140377","https://openalex.org/W6718379498","https://openalex.org/W6728588997","https://openalex.org/W6728889164","https://openalex.org/W6729482032","https://openalex.org/W6731370813","https://openalex.org/W6734831415","https://openalex.org/W6735061257","https://openalex.org/W6735913928","https://openalex.org/W6741832134","https://openalex.org/W6745554073","https://openalex.org/W6745560452","https://openalex.org/W6748582592","https://openalex.org/W6752378368","https://openalex.org/W6753412334","https://openalex.org/W6754405603","https://openalex.org/W6755312952","https://openalex.org/W6765779288"],"related_works":["https://openalex.org/W2888032422","https://openalex.org/W2996316059","https://openalex.org/W4385421777","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W3107517429","https://openalex.org/W4287570469","https://openalex.org/W2845413374","https://openalex.org/W3005996785","https://openalex.org/W4297411772"],"abstract_inverted_index":{"Recent":[0],"generative":[1],"adversarial":[2],"network":[3],"based":[4],"methods":[5],"have":[6],"shown":[7],"promising":[8],"results":[9],"for":[10,58],"the":[11,54,76,104,107,115,123,143,193],"charming":[12],"but":[13,32],"challenging":[14],"task":[15],"of":[16,48,103,132,168,196],"synthesizing":[17],"images":[18,26],"from":[19,94,134],"text":[20],"descriptions.":[21],"These":[22],"approaches":[23],"can":[24,140],"generate":[25],"with":[27,38],"general":[28],"shape":[29],"and":[30,86,97,120,136,170,199],"color":[31],"often":[33],"produce":[34],"distorted":[35],"global":[36,87,144],"structures":[37,88],"unnatural":[39],"local":[40,84],"semantic":[41,56],"details.":[42],"It":[43],"is":[44,111],"due":[45],"to":[46,82,91,113,153,164,174],"ineffectiveness":[47],"convolutional":[49],"neural":[50],"networks":[51],"in":[52,74],"capturing":[53],"high-level":[55],"information":[57],"pixel-level":[59],"image":[60],"synthesis.":[61],"In":[62],"this":[63],"paper,":[64],"we":[65,147,158],"propose":[66],"a":[67],"Dual":[68],"Attentional":[69],"Generative":[70],"Adversarial":[71],"Network":[72],"(DualAttn-GAN)":[73],"which":[75,139],"dual":[77,105],"attention":[78,109,127,150],"modules":[79],"are":[80],"introduced":[81],"enhance":[83],"details":[85],"by":[89],"attending":[90],"related":[92],"features":[93],"relevant":[95],"words":[96],"different":[98],"visual":[99,126],"regions.":[100],"As":[101],"one":[102],"modules,":[106],"textual":[108],"module":[110,128,152],"designed":[112],"explore":[114],"fine-grained":[116],"interaction":[117],"between":[118],"vision":[119,133],"language.":[121],"On":[122],"other":[124],"hand,":[125],"models":[129,191],"internal":[130],"representations":[131],"channel":[135],"spatial":[137],"axes,":[138],"better":[141],"capture":[142],"structures.":[145],"Meanwhile,":[146],"apply":[148,171],"an":[149,160],"embedding":[151],"merge":[154],"multi-path":[155],"features.":[156],"Furthermore,":[157],"present":[159],"inverted":[161],"residual":[162],"structure":[163],"boost":[165],"representation":[166],"power":[167],"CNNs":[169],"spectral":[172],"normalization":[173],"stabilize":[175],"GAN":[176],"training.":[177],"With":[178],"extensive":[179],"experimental":[180],"validation":[181],"on":[182],"two":[183],"benchmark":[184],"datasets,":[185],"our":[186],"method":[187],"significantly":[188],"improves":[189],"state-of-the-art":[190],"over":[192],"evaluation":[194],"metrics":[195],"inception":[197,201],"score":[198],"Fr\u00e9chet":[200],"distance.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":5}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}