{"id":"https://openalex.org/W3194684016","doi":"https://doi.org/10.1109/icip42928.2021.9506172","title":"FA-GAN: Feature-Aware GAN for Text to Image Synthesis","display_name":"FA-GAN: Feature-Aware GAN for Text to Image Synthesis","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3194684016","doi":"https://doi.org/10.1109/icip42928.2021.9506172","mag":"3194684016"},"language":"en","primary_location":{"id":"doi:10.1109/icip42928.2021.9506172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506172","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/A5050729449","display_name":"Eunyeong Jeon","orcid":null},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Eunyeong Jeon","raw_affiliation_strings":["Pohang University of Science and Technology,Dept. of Computer Science and Engineering,Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pohang University of Science and Technology,Dept. of Computer Science and Engineering,Korea","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039248738","display_name":"Kunhee Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kunhee Kim","raw_affiliation_strings":["Pohang University of Science and Technology,Dept. of Computer Science and Engineering,Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pohang University of Science and Technology,Dept. of Computer Science and Engineering,Korea","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101431617","display_name":"Daijin Kim","orcid":"https://orcid.org/0000-0002-8046-8521"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Daijin Kim","raw_affiliation_strings":["Pohang University of Science and Technology,Dept. of Computer Science and Engineering,Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pohang University of Science and Technology,Dept. of Computer Science and Engineering,Korea","institution_ids":["https://openalex.org/I123900574"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9703,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.77631006,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2443","last_page":"2447"},"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":0.9987000226974487,"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":0.9987000226974487,"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":0.9911999702453613,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9860000014305115,"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/discriminator","display_name":"Discriminator","score":0.983644425868988},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7961312532424927},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7801157832145691},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.6833286881446838},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6673052310943604},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6276751160621643},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5640144944190979},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5301293730735779},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.5189016461372375},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5185942649841309},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5161117315292358},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.488562673330307},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4788101315498352},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.10949963331222534}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.983644425868988},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7961312532424927},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7801157832145691},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.6833286881446838},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6673052310943604},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6276751160621643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5640144944190979},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5301293730735779},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.5189016461372375},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5185942649841309},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5161117315292358},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.488562673330307},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4788101315498352},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.10949963331222534},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/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/icip42928.2021.9506172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506172","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"},{"id":"pmh:oai:oasis.postech.ac.kr:2014.oak/109806","is_oa":false,"landing_page_url":"https://oasis.postech.ac.kr/handle/2014.oak/109806","pdf_url":null,"source":{"id":"https://openalex.org/S4306401965","display_name":"Open Access System for Information Sharing (Pohang University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I123900574","host_organization_name":"Pohang University of Science and Technology","host_organization_lineage":["https://openalex.org/I123900574"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7400000095367432,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W2125389028","https://openalex.org/W2331128040","https://openalex.org/W2883861033","https://openalex.org/W2962845008","https://openalex.org/W2963073614","https://openalex.org/W2963373786","https://openalex.org/W2963966654","https://openalex.org/W2964024144","https://openalex.org/W2965289598","https://openalex.org/W2966792645","https://openalex.org/W2982450728","https://openalex.org/W3015215494","https://openalex.org/W3034600949","https://openalex.org/W3048484056","https://openalex.org/W3096831136","https://openalex.org/W3104956649","https://openalex.org/W3118552741","https://openalex.org/W4301206121","https://openalex.org/W6637373629","https://openalex.org/W6639102338","https://openalex.org/W6678815747","https://openalex.org/W6702130928","https://openalex.org/W6718379498","https://openalex.org/W6729966448","https://openalex.org/W6730746255","https://openalex.org/W6752944736","https://openalex.org/W6759449511","https://openalex.org/W6765779288","https://openalex.org/W6770113126","https://openalex.org/W6779841522","https://openalex.org/W6781951827","https://openalex.org/W6784364625","https://openalex.org/W6788340828"],"related_works":["https://openalex.org/W2995777218","https://openalex.org/W3217069185","https://openalex.org/W4308928038","https://openalex.org/W3049340819","https://openalex.org/W4200430540","https://openalex.org/W3141413246","https://openalex.org/W2888032422","https://openalex.org/W4322709305","https://openalex.org/W2808862658","https://openalex.org/W4391899165"],"abstract_inverted_index":{"Text-to-image":[0],"synthesis":[1],"aims":[2],"to":[3,30,50,90,124],"generate":[4,31],"a":[5,9,52,59,63,69,87],"photo-realistic":[6],"image":[7,54],"from":[8,102,122],"given":[10],"natural":[11],"language":[12],"description.":[13],"Previous":[14],"works":[15],"have":[16],"made":[17],"significant":[18],"progress":[19],"with":[20,72],"Generative":[21,46],"Adversarial":[22,47],"Networks":[23],"(GANs).":[24],"Nonetheless,":[25],"it":[26],"is":[27],"still":[28],"hard":[29],"intact":[32],"objects":[33],"or":[34],"clear":[35],"textures":[36],"(Fig":[37],"1).":[38],"To":[39],"address":[40],"this":[41],"issue,":[42],"we":[43,67,85],"propose":[44],"Feature-Aware":[45],"Network":[48],"(FA-GAN)":[49],"synthesize":[51],"high-quality":[53],"by":[55,97],"integrating":[56],"two":[57],"techniques:":[58],"self-supervised":[60,70,104],"discriminator":[61,71,79],"and":[62],"feature-aware":[64,88],"loss.":[65],"First,":[66],"design":[68],"an":[73],"auxiliary":[74],"decoder":[75],"so":[76],"that":[77,112],"the":[78,92,99,103,108,118],"can":[80],"extract":[81],"better":[82],"representation.":[83],"Secondly,":[84],"introduce":[86],"loss":[89],"provide":[91],"generator":[93],"more":[94],"direct":[95],"supervision":[96],"employing":[98],"feature":[100],"representation":[101],"discriminator.":[105],"Experiments":[106],"on":[107],"MSCOCO":[109],"dataset":[110],"show":[111],"our":[113],"proposed":[114],"method":[115],"significantly":[116],"advances":[117],"state-of-the-art":[119],"FID":[120],"score":[121],"28.92":[123],"24.58.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}