{"id":"https://openalex.org/W3195755139","doi":"https://doi.org/10.1109/icip42928.2021.9506487","title":"Text To Image Synthesis With Erudite Generative Adversarial Networks","display_name":"Text To Image Synthesis With Erudite Generative Adversarial Networks","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3195755139","doi":"https://doi.org/10.1109/icip42928.2021.9506487","mag":"3195755139"},"language":"en","primary_location":{"id":"doi:10.1109/icip42928.2021.9506487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","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/A5019348755","display_name":"Zhiqiang Zhang","orcid":"https://orcid.org/0000-0002-2408-366X"},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Zhiqiang Zhang","raw_affiliation_strings":["Hosei Unviersity"],"affiliations":[{"raw_affiliation_string":"Hosei Unviersity","institution_ids":["https://openalex.org/I204291657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049814360","display_name":"Wenxin Yu","orcid":"https://orcid.org/0000-0002-6093-5516"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxin Yu","raw_affiliation_strings":["Southwest University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Southwest University of Science and Technology","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101759345","display_name":"Ning Jiang","orcid":"https://orcid.org/0000-0003-0794-7996"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Jiang","raw_affiliation_strings":["Southwest University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Southwest University of Science and Technology","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021863826","display_name":"Jinjia Zhou","orcid":"https://orcid.org/0000-0002-5078-0522"},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jinjia Zhou","raw_affiliation_strings":["Hosei Unviersity"],"affiliations":[{"raw_affiliation_string":"Hosei Unviersity","institution_ids":["https://openalex.org/I204291657"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5019348755"],"corresponding_institution_ids":["https://openalex.org/I204291657"],"apc_list":null,"apc_paid":null,"fwci":0.2882,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.55580065,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2438","last_page":"2442"},"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":0.9994999766349792,"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":0.9994999766349792,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9939000010490417,"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":0.9926999807357788,"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/adversarial-system","display_name":"Adversarial system","score":0.8682661652565002},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.7037361860275269},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.659386932849884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5542883276939392},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5502788424491882},{"id":"https://openalex.org/keywords/image-synthesis","display_name":"Image synthesis","score":0.5422168970108032},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42607998847961426}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8682661652565002},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.7037361860275269},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.659386932849884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5542883276939392},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5502788424491882},{"id":"https://openalex.org/C2989087649","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Image synthesis","level":3,"score":0.5422168970108032},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42607998847961426}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip42928.2021.9506487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310080","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1797268635","https://openalex.org/W1836465849","https://openalex.org/W1921523184","https://openalex.org/W2194775991","https://openalex.org/W2405756170","https://openalex.org/W2533598788","https://openalex.org/W2785678896","https://openalex.org/W2962845008","https://openalex.org/W2963163163","https://openalex.org/W2963373786","https://openalex.org/W2963413689","https://openalex.org/W2963684088","https://openalex.org/W2963966654","https://openalex.org/W2964024144","https://openalex.org/W2966792645","https://openalex.org/W3009811209","https://openalex.org/W4300838842","https://openalex.org/W4301206121","https://openalex.org/W4320013936","https://openalex.org/W6631190155","https://openalex.org/W6638667902","https://openalex.org/W6640185926","https://openalex.org/W6685352114","https://openalex.org/W6713645886","https://openalex.org/W6718379498","https://openalex.org/W6728889164","https://openalex.org/W6730746255","https://openalex.org/W6735463952","https://openalex.org/W6747733185","https://openalex.org/W6748582592","https://openalex.org/W6761054354","https://openalex.org/W6765779288"],"related_works":["https://openalex.org/W2772330423","https://openalex.org/W4283758926","https://openalex.org/W4297411772","https://openalex.org/W1503502830","https://openalex.org/W3020852381","https://openalex.org/W4308217387","https://openalex.org/W4366834432","https://openalex.org/W2981017910","https://openalex.org/W3002350530","https://openalex.org/W3195755139"],"abstract_inverted_index":{"In":[0,44],"this":[1,45],"paper,":[2],"an":[3],"Erudite":[4],"Generative":[5],"Adversarial":[6],"Networks":[7],"(EruditeGAN)":[8],"is":[9,103],"proposed":[10],"for":[11],"the":[12,23,27,30,37,53,56,76,84,89,104,113],"text-to-image":[13],"synthesis":[14],"task.":[15],"By":[16],"introducing":[17],"additional":[18],"image":[19,25,38,57,115],"distribution":[20,39,54,81],"related":[21],"to":[22,60,88,112],"original":[24],"into":[26],"network":[28,32],"structure,":[29],"entire":[31],"can":[33,48],"learn":[34],"more":[35,42,50],"about":[36,52],"and":[40,63,74,97],"become":[41],"knowledgeable.":[43],"case,":[46],"it":[47],"be":[49,61],"clear":[51],"of":[55,79,92],"that":[58],"needs":[59],"synthesized":[62],"finally":[64],"synthesize":[65],"high-quality":[66],"results.":[67,86],"Experiments":[68],"well":[69],"validate":[70],"our":[71,99,108],"method\u2019s":[72,100],"effectiveness":[73],"demonstrate":[75],"different":[77,80],"effects":[78],"situations":[82],"on":[83],"final":[85],"According":[87],"quantitative":[90],"results":[91,109],"Fr\u00e9chet":[93],"Inception":[94],"Distance":[95],"(FID)":[96],"R-precision,":[98],"comprehensive":[101],"score":[102],"best,":[105],"which":[106],"reflects":[107],"are":[110],"closer":[111],"real":[114],"effect.":[116]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}