{"id":"https://openalex.org/W4308217457","doi":"https://doi.org/10.1109/iciscae55891.2022.9927634","title":"Methods and Datasets of Text to Image Synthesis Based on Generative Adversarial Network","display_name":"Methods and Datasets of Text to Image Synthesis Based on Generative Adversarial Network","publication_year":2022,"publication_date":"2022-09-23","ids":{"openalex":"https://openalex.org/W4308217457","doi":"https://doi.org/10.1109/iciscae55891.2022.9927634"},"language":"en","primary_location":{"id":"doi:10.1109/iciscae55891.2022.9927634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciscae55891.2022.9927634","pdf_url":null,"source":{"id":"https://openalex.org/S4363608062","display_name":"2022 IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE)","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/A5100367672","display_name":"Junjie Li","orcid":"https://orcid.org/0009-0000-2326-4242"},"institutions":[{"id":"https://openalex.org/I148099405","display_name":"Xi'an University of Architecture and Technology","ror":"https://ror.org/04v2j2k71","country_code":"CN","type":"education","lineage":["https://openalex.org/I148099405"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junjie Li","raw_affiliation_strings":["Xi'an University of Architecture and Technology,Xi'an,China"],"affiliations":[{"raw_affiliation_string":"Xi'an University of Architecture and Technology,Xi'an,China","institution_ids":["https://openalex.org/I148099405"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109590885","display_name":"Tongfei Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongfei Sun","raw_affiliation_strings":["Beijing University of Technology,Beijing,China","Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Beijing,China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002419350","display_name":"Zhenkun Yang","orcid":"https://orcid.org/0000-0001-7567-2870"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhenkun Yang","raw_affiliation_strings":["The Ohio State University,Ohio,United States","The Ohio State University, Ohio, United States"],"affiliations":[{"raw_affiliation_string":"The Ohio State University,Ohio,United States","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"The Ohio State University, Ohio, United States","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036176186","display_name":"Zhoutong Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhoutong Yuan","raw_affiliation_strings":["Beijing University of Technology,Beijing,China","Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Beijing,China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100367672"],"corresponding_institution_ids":["https://openalex.org/I148099405"],"apc_list":null,"apc_paid":null,"fwci":0.0599,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.28468558,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"144","issue":null,"first_page":"843","last_page":"847"},"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":0.9980999827384949,"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":0.9980999827384949,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9975000023841858,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9886000156402588,"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":0.8162435293197632},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.7220283150672913},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.7120446562767029},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6586154699325562},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6269821524620056},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6145675182342529},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6062073111534119},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5064166784286499},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4370943307876587},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43638232350349426},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.411079466342926},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34850287437438965},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33894649147987366}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8162435293197632},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.7220283150672913},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.7120446562767029},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6586154699325562},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6269821524620056},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6145675182342529},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6062073111534119},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5064166784286499},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4370943307876587},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43638232350349426},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.411079466342926},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34850287437438965},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33894649147987366},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iciscae55891.2022.9927634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciscae55891.2022.9927634","pdf_url":null,"source":{"id":"https://openalex.org/S4363608062","display_name":"2022 IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1797268635","https://openalex.org/W2405756170","https://openalex.org/W2963966654","https://openalex.org/W3121972911","https://openalex.org/W4300838842","https://openalex.org/W6713645886","https://openalex.org/W6728889164","https://openalex.org/W6746511181"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2888032422","https://openalex.org/W4385421777","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W2845413374","https://openalex.org/W3005996785","https://openalex.org/W4297411772","https://openalex.org/W4235873501","https://openalex.org/W4389345324"],"abstract_inverted_index":{"Text-to-Image":[0],"(T2I)":[1],"synthesis":[2],"refers":[3],"to":[4,69,94,107,167],"the":[5,24,50,109,131,140,165,177,186,189],"computational":[6],"method":[7],"of":[8,26,52,111,142,176,188],"translating":[9],"normal":[10],"human":[11],"text":[12,22],"description":[13],"into":[14],"images":[15,73,98],"which":[16,65],"have":[17],"alike":[18],"semantic":[19],"meaning":[20],"as":[21],"with":[23,74,99],"use":[25],"keywords":[27],"or":[28],"sentences.":[29],"T2I":[30,81,90,143],"has":[31,55],"achieved":[32],"great":[33],"success":[34],"in":[35,40,154,164],"a":[36,151],"few":[37],"areas,":[38],"especially":[39],"generating":[41],"vivid,":[42],"realistic":[43],"visual":[44],"and":[45,136,180],"photographic":[46],"images.":[47],"Recent":[48],"years,":[49],"development":[51],"deep":[53,62],"learning":[54,63],"brought":[56],"some":[57,67,85],"new":[58],"methods":[59,116,132],"for":[60],"unsupervised":[61],"area,":[64],"provide":[66],"models":[68,91],"generate":[70,95],"visually":[71],"natural":[72],"suitably":[75],"trained":[76],"neural":[77],"network":[78],"models.":[79],"However,":[80],"now":[82],"still":[83],"faces":[84],"challenges.":[86],"For":[87],"example,":[88],"current":[89,158],"are":[92,117],"unable":[93],"high":[96],"resolution":[97],"multiple":[100],"objects.":[101],"And":[102],"it":[103,135],"can":[104],"be":[105,162,183],"difficult":[106],"reproduce":[108],"results":[110],"many":[112],"approaches.":[113],"Since":[114],"present":[115],"mostly":[118],"based":[119,144],"on":[120,130,134,145],"GAN":[121],"(Generative":[122],"Adversarial":[123],"Network)":[124],"models,":[125],"this":[126],"paper":[127,166],"will":[128,161,182],"focus":[129],"depending":[133],"systematically":[137],"clear":[138],"up":[139],"developments":[141],"GAN.":[146],"Also,":[147],"datasets":[148,160],"always":[149],"play":[150],"supporting":[152],"role":[153],"task":[155],"development,":[156],"several":[157],"T2I-related":[159],"discussed":[163],"explain":[168],"more":[169],"about":[170],"T2I's":[171],"development.":[172],"A":[173],"brief":[174],"discussion":[175],"future":[178],"work":[179],"challenges":[181],"showed":[184],"at":[185],"end":[187],"paper.":[190]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}