{"id":"https://openalex.org/W4378976666","doi":"https://doi.org/10.1109/icai58407.2023.10136680","title":"Visual Recognition for ZELDA Content Generation via Generative Adversarial Network","display_name":"Visual Recognition for ZELDA Content Generation via Generative Adversarial Network","publication_year":2023,"publication_date":"2023-02-22","ids":{"openalex":"https://openalex.org/W4378976666","doi":"https://doi.org/10.1109/icai58407.2023.10136680"},"language":"en","primary_location":{"id":"doi:10.1109/icai58407.2023.10136680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icai58407.2023.10136680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 3rd International Conference on Artificial Intelligence (ICAI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5092063683","display_name":"Fouzia Usman","orcid":null},"institutions":[{"id":"https://openalex.org/I173207729","display_name":"University of Engineering and Technology Taxila","ror":"https://ror.org/03v00ka07","country_code":"PK","type":"education","lineage":["https://openalex.org/I173207729"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Fouzia Usman","raw_affiliation_strings":["University of Engineering & Technology,Software Engineering Department,Taxila,Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Engineering & Technology,Software Engineering Department,Taxila,Pakistan","institution_ids":["https://openalex.org/I173207729"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073762312","display_name":"Syed Muhammad Anwar","orcid":null},"institutions":[{"id":"https://openalex.org/I173207729","display_name":"University of Engineering and Technology Taxila","ror":"https://ror.org/03v00ka07","country_code":"PK","type":"education","lineage":["https://openalex.org/I173207729"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Syed M. Anwar","raw_affiliation_strings":["University of Engineering & Technology,Software Engineering Department,Taxila,Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Engineering & Technology,Software Engineering Department,Taxila,Pakistan","institution_ids":["https://openalex.org/I173207729"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054179624","display_name":"Usman Rauf","orcid":"https://orcid.org/0009-0002-9666-8592"},"institutions":[{"id":"https://openalex.org/I173207729","display_name":"University of Engineering and Technology Taxila","ror":"https://ror.org/03v00ka07","country_code":"PK","type":"education","lineage":["https://openalex.org/I173207729"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Usman Rauf","raw_affiliation_strings":["University of Engineering & Technology,Computer Engineering Department,Taxila,Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Engineering & Technology,Computer Engineering Department,Taxila,Pakistan","institution_ids":["https://openalex.org/I173207729"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I173207729"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"76","last_page":"81"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11574","display_name":"Artificial Intelligence in Games","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.994700014591217,"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/T11197","display_name":"Digital Games and Media","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.8331632018089294},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7627319097518921},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7336304187774658},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.6461600065231323},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6105232834815979},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.5219523310661316},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.505767822265625},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.4583832621574402},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3773448169231415},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10541898012161255},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06259498000144958}],"concepts":[{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.8331632018089294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7627319097518921},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7336304187774658},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.6461600065231323},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6105232834815979},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.5219523310661316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.505767822265625},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.4583832621574402},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3773448169231415},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10541898012161255},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06259498000144958},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icai58407.2023.10136680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icai58407.2023.10136680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 3rd International Conference on Artificial Intelligence (ICAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W134527144","https://openalex.org/W1522301498","https://openalex.org/W1959608418","https://openalex.org/W1966832848","https://openalex.org/W2001923012","https://openalex.org/W2043334098","https://openalex.org/W2168115594","https://openalex.org/W2198061512","https://openalex.org/W2290393232","https://openalex.org/W2474605630","https://openalex.org/W2726805909","https://openalex.org/W2734188398","https://openalex.org/W2739192055","https://openalex.org/W2739748921","https://openalex.org/W2746068898","https://openalex.org/W2753904554","https://openalex.org/W2790895427","https://openalex.org/W2888461232","https://openalex.org/W2897177022","https://openalex.org/W2910339659","https://openalex.org/W2946584082","https://openalex.org/W2963684088","https://openalex.org/W2963690854","https://openalex.org/W2963771763","https://openalex.org/W2964201809","https://openalex.org/W2973005899","https://openalex.org/W3004202325","https://openalex.org/W3034523045","https://openalex.org/W3042145171","https://openalex.org/W3200482619","https://openalex.org/W4287802874","https://openalex.org/W4320013936","https://openalex.org/W6605505536","https://openalex.org/W6631190155","https://openalex.org/W6640963894","https://openalex.org/W6685352114","https://openalex.org/W6687852859","https://openalex.org/W6696872630","https://openalex.org/W6721127235","https://openalex.org/W6740220813","https://openalex.org/W6741104637","https://openalex.org/W6741832134","https://openalex.org/W6743002019","https://openalex.org/W6754147839","https://openalex.org/W6768257272","https://openalex.org/W6776218486","https://openalex.org/W6781020578"],"related_works":["https://openalex.org/W2888032422","https://openalex.org/W2996316059","https://openalex.org/W3178813832","https://openalex.org/W4385421777","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W2971552217","https://openalex.org/W2969215546","https://openalex.org/W3005996785","https://openalex.org/W4297411772"],"abstract_inverted_index":{"In":[0,105],"video":[1],"games,":[2],"procedural":[3,11],"content":[4,12,45,60,102,134],"generation":[5,13,135],"has":[6,37],"a":[7,39,56,94,111],"strong":[8],"history.":[9],"Current":[10],"strategies,":[14],"such":[15],"as":[16,97],"search-based,":[17],"solver-based,":[18],"rule-based,":[19],"and":[20,32,121,136],"language-based":[21],"techniques,":[22],"have":[23,51,109],"been":[24,38,52],"used":[25,75,79],"to":[26,43,65,126],"create":[27],"levels,":[28],"maps,":[29],"character":[30],"models,":[31],"surfaces":[33],"in":[34,53,80],"games.":[35,66],"There":[36],"research":[40],"area":[41],"dedicated":[42],"game":[44],"generation.":[46],"More":[47],"recently,":[48],"Generative":[49,70,113,118,123],"tasks":[50],"charge":[54],"of":[55,59,133,140,143],"wide":[57],"range":[58],"creations":[61],"that":[62,148],"are":[63,74,78],"relevant":[64],"Although":[67],"some":[68],"front-line":[69],"Adversarial":[71,114,119,124],"Networks":[72],"(GANs)":[73],"independently,":[76],"others":[77],"conjunction":[81],"with":[82],"more":[83],"traditional":[84],"techniques":[85],"or":[86],"an":[87],"intel-ligent":[88],"environment.":[89],"GANs":[90],"model":[91],"suffers":[92],"from":[93],"problem":[95],"known":[96],"mode":[98],"collapse":[99],"where":[100],"duplicate":[101],"is":[103],"generated.":[104],"this":[106],"ar-ticle,":[107],"we":[108],"applied":[110],"simple":[112],"Network,":[115],"Deep":[116],"convolutional":[117],"Network(DCGAN),":[120],"Wasserstein":[122],"Network(WGAN)":[125],"the":[127,138,141],"ZELDA":[128],"data":[129],"set":[130],"for":[131],"levels":[132],"conclude":[137],"results":[139],"basis":[142],"visual":[144],"recognition.":[145],"Results":[146],"show":[147],"WGAN":[149],"generates":[150],"visually":[151],"good":[152],"content.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}