{"id":"https://openalex.org/W2997245201","doi":"https://doi.org/10.1109/tpami.2019.2963663","title":"LayoutGAN: Synthesizing Graphic Layouts With Vector-Wireframe Adversarial Networks","display_name":"LayoutGAN: Synthesizing Graphic Layouts With Vector-Wireframe Adversarial Networks","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W2997245201","doi":"https://doi.org/10.1109/tpami.2019.2963663","mag":"2997245201","pmid":"https://pubmed.ncbi.nlm.nih.gov/31902756"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2019.2963663","doi":"https://doi.org/10.1109/tpami.2019.2963663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2019.2963663","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-a","cwts-core","dongbi-a","doyens","jufo-3","medline","norway-2","poland-200","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","pubmed"],"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/A5100448292","display_name":"Jianan Li","orcid":"https://orcid.org/0000-0002-6936-9485","observed_orcids":["https://orcid.org/0000-0002-6936-9485","https://orcid.org/0000-0002-9733-3244","https://orcid.org/0009-0003-9148-1582"]},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianan Li","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6936-9485","affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jimei Yang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jimei Yang","raw_affiliation_strings":["Adobe Research, San Jose, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research, San Jose, CA, USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061237128","display_name":"Aaron Hertzmann","orcid":"https://orcid.org/0000-0001-9667-0292","observed_orcids":["https://orcid.org/0000-0001-9667-0292"]},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aaron Hertzmann","raw_affiliation_strings":["Adobe Research, San Jose, CA, USA"],"raw_orcid":"https://orcid.org/0000-0001-9667-0292","affiliations":[{"raw_affiliation_string":"Adobe Research, San Jose, CA, USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036510129","display_name":"Jianming Zhang","orcid":"https://orcid.org/0000-0002-9954-6294","observed_orcids":["https://orcid.org/0000-0002-9954-6294"]},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianming Zhang","raw_affiliation_strings":["Adobe Research, San Jose, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-9954-6294","affiliations":[{"raw_affiliation_string":"Adobe Research, San Jose, CA, USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019242095","display_name":"Tingfa Xu","orcid":"https://orcid.org/0000-0001-5452-2662","observed_orcids":["https://orcid.org/0000-0001-5452-2662"]},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingfa Xu","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2045,"currency":"USD","value_usd":2045},"apc_paid":null,"fwci":3.2796,"has_fulltext":false,"cited_by_count":84,"citation_normalized_percentile":{"value":0.92884386,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":"43","issue":"7","first_page":"2388","last_page":"2399"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14254","display_name":"Digital Media and Visual Art","score":9.999999747378752e-05,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/generative-adversarial-networks","display_name":"generative adversarial networks","score":0.9710000157356262},{"id":"https://openalex.org/keywords/vector-graphics","display_name":"vector graphics","score":0.5830000042915344},{"id":"https://openalex.org/keywords/geometric-relationships","display_name":"geometric relationships","score":0.5619999766349792},{"id":"https://openalex.org/keywords/self-attention","display_name":"self-attention","score":0.9139999747276306},{"id":"https://openalex.org/keywords/graphic-design","display_name":"graphic design","score":0.4359999895095825}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7849258184432983},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6488208174705505},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.6149119734764099},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.5812134742736816},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5325006246566772},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4794827401638031},{"id":"https://openalex.org/C188985296","wikidata":"https://www.wikidata.org/wiki/Q868954","display_name":"Page layout","level":2,"score":0.425388902425766},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.4218132495880127},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40584903955459595},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.40118712186813354},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.22625431418418884},{"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},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2019.2963663","doi":"https://doi.org/10.1109/tpami.2019.2963663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2019.2963663","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-a","cwts-core","dongbi-a","doyens","jufo-3","medline","norway-2","poland-200","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:31902756","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31902756","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W639708223","https://openalex.org/W1522301498","https://openalex.org/W1947481528","https://openalex.org/W1981219830","https://openalex.org/W1981636936","https://openalex.org/W1982483860","https://openalex.org/W1996418862","https://openalex.org/W2030073376","https://openalex.org/W2075779758","https://openalex.org/W2102605133","https://openalex.org/W2108598243","https://openalex.org/W2130634053","https://openalex.org/W2130942839","https://openalex.org/W2131210874","https://openalex.org/W2133564696","https://openalex.org/W2136384865","https://openalex.org/W2149846167","https://openalex.org/W2162559028","https://openalex.org/W2163605009","https://openalex.org/W2167839676","https://openalex.org/W2173183968","https://openalex.org/W2173520492","https://openalex.org/W2194690080","https://openalex.org/W2402144811","https://openalex.org/W2432004435","https://openalex.org/W2481240925","https://openalex.org/W2519091744","https://openalex.org/W2519887557","https://openalex.org/W2520707650","https://openalex.org/W2546066744","https://openalex.org/W2551540143","https://openalex.org/W2552495561","https://openalex.org/W2557465155","https://openalex.org/W2560609797","https://openalex.org/W2560722161","https://openalex.org/W2737548191","https://openalex.org/W2742434688","https://openalex.org/W2765874585","https://openalex.org/W2766091292","https://openalex.org/W2766527293","https://openalex.org/W2784996692","https://openalex.org/W2795649955","https://openalex.org/W2798622261","https://openalex.org/W2804078698","https://openalex.org/W2810181048","https://openalex.org/W2909483446","https://openalex.org/W2949099979","https://openalex.org/W2950527759","https://openalex.org/W2951005624","https://openalex.org/W2962724148","https://openalex.org/W2962760235","https://openalex.org/W2963091558","https://openalex.org/W2963636093","https://openalex.org/W2963758027","https://openalex.org/W2963981733","https://openalex.org/W2964121744","https://openalex.org/W2964308564","https://openalex.org/W2964346820","https://openalex.org/W3138514142","https://openalex.org/W3139355527","https://openalex.org/W6729001083","https://openalex.org/W6729687604","https://openalex.org/W6748208425"],"related_works":["https://openalex.org/W2909483446","https://openalex.org/W4360933874","https://openalex.org/W4407863777","https://openalex.org/W4291653200","https://openalex.org/W4285605355","https://openalex.org/W4390873073","https://openalex.org/W3033926673","https://openalex.org/W4402716426","https://openalex.org/W4395053561","https://openalex.org/W4387526890"],"abstract_inverted_index":{"Layout":[0],"is":[1,67,95],"important":[2],"for":[3,69],"graphic":[4,43,125],"design":[5],"and":[6,48,56,131],"scene":[7,122],"generation.":[8],"We":[9,104],"propose":[10,74],"a":[11,38,62,75,87,92],"novel":[12,76],"Generative":[13],"Adversarial":[14],"Network,":[15],"called":[16],"LayoutGAN,":[17],"that":[18,81],"synthesizes":[19],"layouts":[20,100],"by":[21,46],"modeling":[22],"geometric":[23,57],"relations":[24],"of":[25,28,33,40,108],"different":[26],"types":[27],"2D":[29,42],"elements.":[30],"The":[31],"generator":[32],"LayoutGAN":[34,109],"takes":[35],"as":[36],"input":[37],"set":[39],"randomly-placed":[41],"elements,":[44],"represented":[45],"vectors":[47],"uses":[49],"self-attention":[50],"modules":[51],"to":[52,60,86,97],"refine":[53],"their":[54],"labels":[55],"parameters":[58],"jointly":[59],"produce":[61],"realistic":[63],"layout.":[64],"Accurate":[65],"alignment":[66],"critical":[68],"good":[70],"layouts.":[71],"We,":[72],"thus,":[73],"differentiable":[77],"wireframe":[78,88],"rendering":[79],"layer":[80],"maps":[82],"the":[83,99,106],"generated":[84],"layout":[85,118,129,133],"image,":[89],"upon":[90],"which":[91],"CNN-based":[93],"discriminator":[94],"used":[96],"optimize":[98],"in":[101,110],"image":[102],"space.":[103],"validate":[105],"effectiveness":[107],"various":[111],"experiments":[112],"including":[113],"MNIST":[114],"digit":[115],"generation,":[116,119,123],"document":[117],"clipart":[120],"abstract":[121],"tangram":[124],"design,":[126,130],"mobile":[127],"app":[128],"webpage":[132],"optimization":[134],"from":[135],"hand-drawn":[136],"sketches.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":32},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":2}],"updated_date":"2026-11-03T10:50:19.383937","created_date":"2020-01-10T00:00:00"}