{"id":"https://openalex.org/W3118472111","doi":"https://doi.org/10.1109/siu49456.2020.9302112","title":"Text-to-Painting on a Large Variance Dataset with Sequential Generative Adversarial Networks","display_name":"Text-to-Painting on a Large Variance Dataset with Sequential Generative Adversarial Networks","publication_year":2020,"publication_date":"2020-10-05","ids":{"openalex":"https://openalex.org/W3118472111","doi":"https://doi.org/10.1109/siu49456.2020.9302112","mag":"3118472111"},"language":"en","primary_location":{"id":"doi:10.1109/siu49456.2020.9302112","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu49456.2020.9302112","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th Signal Processing and Communications Applications Conference (SIU)","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/A5028383867","display_name":"Azmi Can \u00d6zgen","orcid":"https://orcid.org/0000-0001-5631-0305"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Azmi Can Ozgen","raw_affiliation_strings":["Department of Computer Engineering Istanbul Technical University, SiMiT Lab, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering Istanbul Technical University, SiMiT Lab, Istanbul, Turkey","institution_ids":["https://openalex.org/I48912391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066867623","display_name":"Omid Abdollahi Aghdam","orcid":null},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Omid Abdollahi Aghdam","raw_affiliation_strings":["Department of Computer Engineering Istanbul Technical University, SiMiT Lab, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering Istanbul Technical University, SiMiT Lab, Istanbul, Turkey","institution_ids":["https://openalex.org/I48912391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009982931","display_name":"Haz\u0131m Kemal Ekenel","orcid":"https://orcid.org/0000-0003-3697-8548"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Hazim Kemal Ekenel","raw_affiliation_strings":["Department of Computer Engineering Istanbul Technical University, SiMiT Lab, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering Istanbul Technical University, SiMiT Lab, Istanbul, Turkey","institution_ids":["https://openalex.org/I48912391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5028383867"],"corresponding_institution_ids":["https://openalex.org/I48912391"],"apc_list":null,"apc_paid":null,"fwci":0.0982,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.43717757,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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":0.9990000128746033,"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":0.9990000128746033,"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":0.9782000184059143,"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/T12650","display_name":"Aesthetic Perception and Analysis","score":0.9692000150680542,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.7706748843193054},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.7425949573516846},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7365837693214417},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6944857835769653},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6635652780532837},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.6410564184188843},{"id":"https://openalex.org/keywords/painting","display_name":"Painting","score":0.5665712952613831},{"id":"https://openalex.org/keywords/originality","display_name":"Originality","score":0.556088387966156},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.5355854630470276},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46774983406066895},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44904130697250366},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4339889585971832},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3842025399208069},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.07775804400444031}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.7706748843193054},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.7425949573516846},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7365837693214417},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6944857835769653},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6635652780532837},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.6410564184188843},{"id":"https://openalex.org/C205783811","wikidata":"https://www.wikidata.org/wiki/Q11629","display_name":"Painting","level":2,"score":0.5665712952613831},{"id":"https://openalex.org/C2776950860","wikidata":"https://www.wikidata.org/wiki/Q2914681","display_name":"Originality","level":3,"score":0.556088387966156},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.5355854630470276},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46774983406066895},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44904130697250366},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4339889585971832},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3842025399208069},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.07775804400444031},{"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/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C11012388","wikidata":"https://www.wikidata.org/wiki/Q170658","display_name":"Creativity","level":2,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/siu49456.2020.9302112","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu49456.2020.9302112","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},{"id":"pmh:oai:polen.itu.edu.tr:11527/64310","is_oa":false,"landing_page_url":"https://hdl.handle.net/11527/64310","pdf_url":null,"source":{"id":"https://openalex.org/S4306400460","display_name":"Istanbul Technical University Academic Open Archive (Istanbul Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48912391","host_organization_name":"Istanbul Technical University","host_organization_lineage":["https://openalex.org/I48912391"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5199999809265137,"display_name":"Peace, Justice and strong institutions"},{"id":"https://metadata.un.org/sdg/10","score":0.5,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2099471712","https://openalex.org/W2153579005","https://openalex.org/W2173520492","https://openalex.org/W2183341477","https://openalex.org/W2423557781","https://openalex.org/W2548275288","https://openalex.org/W2564591810","https://openalex.org/W2598991778","https://openalex.org/W2785678896","https://openalex.org/W2798312861","https://openalex.org/W2893749619","https://openalex.org/W2921737854","https://openalex.org/W2923217310","https://openalex.org/W2949999304","https://openalex.org/W2950577311","https://openalex.org/W2950776302","https://openalex.org/W2951523806","https://openalex.org/W2962760235","https://openalex.org/W2962793481","https://openalex.org/W2962845008","https://openalex.org/W2962879692","https://openalex.org/W2962947361","https://openalex.org/W2963073614","https://openalex.org/W2963163163","https://openalex.org/W2963226019","https://openalex.org/W2963373786","https://openalex.org/W2963444790","https://openalex.org/W2963567641","https://openalex.org/W2963636093","https://openalex.org/W2963684088","https://openalex.org/W2963767194","https://openalex.org/W2963966654","https://openalex.org/W2963981733","https://openalex.org/W2964024144","https://openalex.org/W4294170691","https://openalex.org/W4294643831","https://openalex.org/W4295521014","https://openalex.org/W4301206121","https://openalex.org/W4320013936","https://openalex.org/W6621378261","https://openalex.org/W6631190155","https://openalex.org/W6682691769","https://openalex.org/W6718140377","https://openalex.org/W6718379498","https://openalex.org/W6729482032","https://openalex.org/W6734074887","https://openalex.org/W6735913928","https://openalex.org/W6745560452","https://openalex.org/W6748582592","https://openalex.org/W6765779288"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2888032422","https://openalex.org/W2996316059","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"],"abstract_inverted_index":{"Converting":[0],"text":[1],"descriptions":[2],"to":[3,105,114],"images":[4,17,30,40,53],"using":[5,132],"Generative":[6,89],"Adversarial":[7,90],"Networks":[8],"has":[9],"become":[10],"a":[11,32,82,87,120],"popular":[12],"research":[13],"area.":[14],"Visually":[15],"appealing":[16],"were":[18,112],"generated":[19,129],"in":[20,45,52],"recent":[21],"years":[22],"successfully.":[23],"We":[24,124],"investigated":[25],"the":[26,126],"generation":[27],"of":[28,67,79,122,128],"artistic":[29,62],"on":[31],"custom-built":[33],"large":[34],"variance":[35],"dataset,":[36],"which":[37,56,93,118],"includes":[38],"training":[39,108],"with":[41],"variations,":[42],"for":[43,61],"example,":[44],"shape,":[46],"color,":[47],"and":[48,102],"content.":[49],"These":[50],"variations":[51],"provide":[54],"originality,":[55],"is":[57,70],"an":[58],"important":[59],"factor":[60],"essence.":[63],"One":[64],"major":[65],"characteristic":[66],"our":[68],"work":[69],"that":[71],"we":[72,85,111],"used":[73],"keywords":[74],"as":[75],"image":[76],"descriptions,":[77],"instead":[78],"sentences.":[80],"As":[81],"network":[83],"architecture,":[84],"proposed":[86],"sequential":[88],"Network":[91],"model,":[92],"utilizes":[94],"several":[95],"techniques":[96],"like":[97],"Wasserstein":[98],"loss,":[99],"spectral":[100],"normalization,":[101],"minibatch":[103],"discrimination":[104],"have":[106,119],"stable":[107],"curves.":[109],"Ultimately,":[110],"able":[113],"generate":[115],"painting":[116],"images,":[117],"variety":[121],"styles.":[123],"evaluated":[125],"quality":[127],"paintings":[130],"by":[131],"Fr\u00e9chet":[133],"Inception":[134],"Distance":[135],"score.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}
