{"id":"https://openalex.org/W3009102157","doi":"https://doi.org/10.1109/access.2020.2975841","title":"Instance Mask Embedding and Attribute-Adaptive Generative Adversarial Network for Text-to-Image Synthesis","display_name":"Instance Mask Embedding and Attribute-Adaptive Generative Adversarial Network for Text-to-Image Synthesis","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3009102157","doi":"https://doi.org/10.1109/access.2020.2975841","mag":"3009102157"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2975841","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2975841","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09007390.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/ielx7/6287639/8948470/09007390.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003156605","display_name":"Jiancheng Ni","orcid":"https://orcid.org/0000-0001-5667-9807"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiancheng Ni","raw_affiliation_strings":["School of Software, Qufu Normal University, Qufu, China"],"raw_orcid":"https://orcid.org/0000-0001-5667-9807","affiliations":[{"raw_affiliation_string":"School of Software, Qufu Normal University, Qufu, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031076446","display_name":"Susu Zhang","orcid":"https://orcid.org/0000-0001-9856-7491"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Susu Zhang","raw_affiliation_strings":["School of Software, Qufu Normal University, Qufu, China"],"raw_orcid":"https://orcid.org/0000-0001-9856-7491","affiliations":[{"raw_affiliation_string":"School of Software, Qufu Normal University, Qufu, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068884216","display_name":"Zili Zhou","orcid":"https://orcid.org/0000-0002-9223-6269"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zili Zhou","raw_affiliation_strings":["School of Software, Qufu Normal University, Qufu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Qufu Normal University, Qufu, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022495891","display_name":"Jie Hou","orcid":"https://orcid.org/0000-0002-8584-5154"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Hou","raw_affiliation_strings":["School of Software, Qufu Normal University, Qufu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Qufu Normal University, Qufu, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101717015","display_name":"Feng Gao","orcid":"https://orcid.org/0000-0001-8324-0496"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Gao","raw_affiliation_strings":["School of Software, Qufu Normal University, Qufu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Qufu Normal University, Qufu, China","institution_ids":["https://openalex.org/I202126657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I202126657"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.6708,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.70432557,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"37697","last_page":"37711"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.9779000282287598,"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/embedding","display_name":"Embedding","score":0.8045929670333862},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7943944931030273},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.6496096253395081},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6374906301498413},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.6346728801727295},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5771476626396179},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48768794536590576},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4657873213291168},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3227804899215698}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.8045929670333862},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7943944931030273},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.6496096253395081},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6374906301498413},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.6346728801727295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5771476626396179},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48768794536590576},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4657873213291168},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3227804899215698},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2975841","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2975841","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09007390.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:ad8c32099cbf4e2fb2388e9f0c3f58fd","is_oa":true,"landing_page_url":"https://doaj.org/article/ad8c32099cbf4e2fb2388e9f0c3f58fd","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 8, Pp 37697-37711 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2975841","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2975841","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09007390.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":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7099999785423279}],"awards":[{"id":"https://openalex.org/G8755128521","display_name":null,"funder_award_id":"61601261","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320316326","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337368","display_name":"Division of Graduate Education","ror":"https://ror.org/00whkrf32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3009102157.pdf","grobid_xml":"https://content.openalex.org/works/W3009102157.grobid-xml"},"referenced_works_count":81,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1689711448","https://openalex.org/W1797268635","https://openalex.org/W1861492603","https://openalex.org/W2099192586","https://openalex.org/W2099471712","https://openalex.org/W2120636621","https://openalex.org/W2183341477","https://openalex.org/W2216125271","https://openalex.org/W2302086703","https://openalex.org/W2341528187","https://openalex.org/W2405756170","https://openalex.org/W2463565445","https://openalex.org/W2519536754","https://openalex.org/W2557449848","https://openalex.org/W2596763562","https://openalex.org/W2598991778","https://openalex.org/W2617322972","https://openalex.org/W2737766105","https://openalex.org/W2745461083","https://openalex.org/W2747898905","https://openalex.org/W2765182214","https://openalex.org/W2788768663","https://openalex.org/W2799062770","https://openalex.org/W2884466206","https://openalex.org/W2905434858","https://openalex.org/W2949999304","https://openalex.org/W2951523806","https://openalex.org/W2952489094","https://openalex.org/W2952716587","https://openalex.org/W2962677013","https://openalex.org/W2962845008","https://openalex.org/W2962864927","https://openalex.org/W2962879692","https://openalex.org/W2962892300","https://openalex.org/W2963020826","https://openalex.org/W2963163163","https://openalex.org/W2963184176","https://openalex.org/W2963242738","https://openalex.org/W2963373786","https://openalex.org/W2963402808","https://openalex.org/W2963413689","https://openalex.org/W2963522749","https://openalex.org/W2963890275","https://openalex.org/W2963966654","https://openalex.org/W2963981733","https://openalex.org/W2964024144","https://openalex.org/W2964121744","https://openalex.org/W2964216930","https://openalex.org/W2964218010","https://openalex.org/W2964313012","https://openalex.org/W2964318832","https://openalex.org/W2965289598","https://openalex.org/W2965833116","https://openalex.org/W2982450728","https://openalex.org/W2983248633","https://openalex.org/W3098612954","https://openalex.org/W3101998545","https://openalex.org/W4288627824","https://openalex.org/W4288642060","https://openalex.org/W4295521014","https://openalex.org/W4301206121","https://openalex.org/W4320013936","https://openalex.org/W6621378261","https://openalex.org/W6631190155","https://openalex.org/W6638319203","https://openalex.org/W6678007500","https://openalex.org/W6713645886","https://openalex.org/W6718379498","https://openalex.org/W6719057275","https://openalex.org/W6726794401","https://openalex.org/W6734641875","https://openalex.org/W6735913928","https://openalex.org/W6737965738","https://openalex.org/W6748596569","https://openalex.org/W6750298367","https://openalex.org/W6755312952","https://openalex.org/W6757941371","https://openalex.org/W6758114194","https://openalex.org/W6765779288","https://openalex.org/W6770113126"],"related_works":["https://openalex.org/W4293320219","https://openalex.org/W2953246223","https://openalex.org/W4283584549","https://openalex.org/W2554314924","https://openalex.org/W4288256692","https://openalex.org/W2998859928","https://openalex.org/W4381885966","https://openalex.org/W2969399009","https://openalex.org/W4398186750","https://openalex.org/W4308217387"],"abstract_inverted_index":{"Existing":[0],"image":[1,22],"generation":[2,23],"models":[3],"have":[4],"achieved":[5],"the":[6,33,46,56,65,69,72,84,111,117,127,140,144],"synthesis":[7],"of":[8],"reasonable":[9],"individuals":[10],"and":[11,37,59,76,100,143,157],"complex":[12,159],"but":[13],"low-resolution":[14,82],"images.":[15],"Directly":[16],"from":[17],"complicated":[18],"text":[19,74],"to":[20,50,78,91,109,131],"high-resolution":[21],"still":[24],"remains":[25],"a":[26,52,81,102],"challenge.":[27],"To":[28],"this":[29],"end,":[30],"we":[31,44,115],"propose":[32],"instance":[34,85],"mask":[35],"embedding":[36,75,86],"attribute-adaptive":[38,119],"generative":[39],"adversarial":[40],"network":[41,49],"(IMEAA-GAN).":[42],"Firstly,":[43],"use":[45],"box":[47],"regression":[48],"compute":[51],"global":[53,66],"layout":[54],"containing":[55],"class":[57],"labels":[58],"locations":[60],"for":[61],"each":[62],"instance.":[63],"Then":[64],"generator":[67],"encodes":[68],"layout,":[70],"combines":[71],"whole":[73],"noise":[77],"preliminarily":[79],"generate":[80,101,133,158],"image;":[83],"mechanism":[87],"is":[88],"used":[89],"firstly":[90],"guide":[92],"local":[93,98,123,162],"refinement":[94,124],"generators":[95,125],"obtain":[96,153],"fine-grained":[97],"features":[99],"more":[103],"realistic":[104],"image.":[105],"Finally,":[106],"in":[107],"order":[108],"synthesize":[110],"exact":[112],"visual":[113],"attributes,":[114],"introduce":[116],"multi-scale":[118],"discriminator,":[120],"which":[121],"provides":[122],"with":[126,161],"specific":[128],"training":[129],"signals":[130],"explicitly":[132],"instance-level":[134],"features.":[135],"Extensive":[136],"experiments":[137],"based":[138],"on":[139],"MS-COCO":[141],"dataset":[142,147],"Caltech-UCSD":[145],"Birds-200-2011":[146],"show":[148],"that":[149],"our":[150],"model":[151],"can":[152],"globally":[154],"consistent":[155],"attributes":[156],"images":[160],"texture":[163],"details.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}