{"id":"https://openalex.org/W3181955432","doi":"https://doi.org/10.1145/3450626.3459836","title":"SWAGAN","display_name":"SWAGAN","publication_year":2021,"publication_date":"2021-07-19","ids":{"openalex":"https://openalex.org/W3181955432","doi":"https://doi.org/10.1145/3450626.3459836","mag":"3181955432"},"language":"en","primary_location":{"id":"doi:10.1145/3450626.3459836","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3450626.3459836","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3450626.3459836","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057080001","display_name":"Rinon Gal","orcid":"https://orcid.org/0000-0003-4875-965X"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Rinon Gal","raw_affiliation_strings":["Tel Aviv University, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tel Aviv University, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083473358","display_name":"Dana Cohen Hochberg","orcid":"https://orcid.org/0000-0001-5438-9355"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Dana Cohen Hochberg","raw_affiliation_strings":["Tel Aviv University, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tel Aviv University, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001922143","display_name":"Amit H. Bermano","orcid":"https://orcid.org/0000-0002-3592-1112"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Amit Bermano","raw_affiliation_strings":["Tel Aviv University, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tel Aviv University, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036688260","display_name":"Daniel Cohen\u2010Or","orcid":"https://orcid.org/0000-0001-6777-7445"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Daniel Cohen-Or","raw_affiliation_strings":["Tel Aviv University, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tel Aviv University, Israel","institution_ids":["https://openalex.org/I16391192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16391192"],"apc_list":null,"apc_paid":null,"fwci":4.6575,"has_fulltext":false,"cited_by_count":89,"citation_normalized_percentile":{"value":0.96021994,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"40","issue":"4","first_page":"1","last_page":"11"},"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":0.9966999888420105,"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":0.9966999888420105,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9922000169754028,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9898999929428101,"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":0.8195675015449524},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.8149333596229553},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6889265775680542},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5449560880661011},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5227939486503601},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5134781002998352},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48160025477409363},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4422149360179901},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33826857805252075},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.20158350467681885},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11065918207168579},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.08316922187805176},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.07239636778831482}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8195675015449524},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.8149333596229553},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6889265775680542},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5449560880661011},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5227939486503601},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5134781002998352},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48160025477409363},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4422149360179901},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33826857805252075},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.20158350467681885},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11065918207168579},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.08316922187805176},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.07239636778831482},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3450626.3459836","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3450626.3459836","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3450626.3459836","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3450626.3459836","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G8320425157","display_name":null,"funder_award_id":"2366/16, 2492/20","funder_id":"https://openalex.org/F4320322252","funder_display_name":"Israel Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320322252","display_name":"Israel Science Foundation","ror":"https://ror.org/04sazxf24"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1996021349","https://openalex.org/W2062024414","https://openalex.org/W2514526063","https://openalex.org/W2776107444","https://openalex.org/W2890276988","https://openalex.org/W2914057590","https://openalex.org/W2942074357","https://openalex.org/W2962770929","https://openalex.org/W2963111219","https://openalex.org/W2963470893","https://openalex.org/W2964261768","https://openalex.org/W2985068832","https://openalex.org/W2986549058","https://openalex.org/W2989045104","https://openalex.org/W3034431451","https://openalex.org/W3034864980","https://openalex.org/W3035574324","https://openalex.org/W4212774754","https://openalex.org/W4255272544","https://openalex.org/W4289547902"],"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/W3151498616"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"considerable":[3],"progress":[4],"has":[5],"been":[6],"made":[7],"in":[8,25,60,99,136,188],"the":[9,61,82,90,100,119,128,137,161],"visual":[10],"quality":[11,26],"of":[12,81,93,121,174],"Generative":[13],"Adversarial":[14],"Networks":[15],"(GANs).":[16],"Even":[17],"so,":[18],"these":[19],"networks":[20,113],"still":[21],"suffer":[22],"from":[23,31],"degradation":[24],"for":[27,149,171],"high-frequency":[28,144,186],"content,":[29,108,145],"stemming":[30],"a":[32,47,74,169,172],"spectrally":[33],"biased":[34],"architecture,":[35],"and":[36,51,70,105,131,177],"similarly":[37],"unfavorable":[38],"loss":[39],"functions.":[40],"To":[41],"address":[42],"this":[43],"issue,":[44],"we":[45,153],"present":[46],"novel":[48],"general-purpose":[49],"Style":[50],"WAvelet":[52],"based":[53],"GAN":[54],"(SWAGAN)":[55],"that":[56,133,155,163,179],"implements":[57],"progressive":[58],"generation":[59,135],"frequency":[62,107],"domain.":[63],"SWAGAN":[64],"incorporates":[65],"wavelets":[66],"throughout":[67],"its":[68],"generator":[69],"discriminator":[71],"architectures,":[72],"enforcing":[73],"frequency-aware":[75,181],"latent":[76,158],"representation":[77],"at":[78],"every":[79],"step":[80],"way.":[83],"This":[84],"approach,":[85],"designed":[86],"to":[87,102,115,141,166],"directly":[88],"tackle":[89],"spectral":[91],"bias":[92],"neural":[94],"networks,":[95],"yields":[96],"an":[97],"improvement":[98],"ability":[101],"generate":[103],"medium":[104],"high":[106],"including":[109],"structures":[110],"which":[111],"other":[112],"fail":[114],"learn.":[116],"We":[117],"demonstrate":[118],"advantage":[120],"our":[122,156,180],"method":[123],"by":[124],"integrating":[125],"it":[126],"into":[127],"SyleGAN2":[129],"framework,":[130],"verifying":[132],"content":[134],"wavelet":[138],"domain":[139],"leads":[140],"more":[142],"realistic":[143],"even":[146],"when":[147],"trained":[148],"fewer":[150],"iterations.":[151],"Furthermore,":[152],"verify":[154],"model's":[157],"space":[159],"retains":[160],"qualities":[162],"allow":[164],"StyleGAN":[165],"serve":[167],"as":[168],"basis":[170],"multitude":[173],"editing":[175],"tasks,":[176],"show":[178],"approach":[182],"also":[183],"induces":[184],"improved":[185],"performance":[187],"downstream":[189],"tasks.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":29},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":7}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2021-07-19T00:00:00"}
