{"id":"https://openalex.org/W2798964688","doi":"https://doi.org/10.1109/gem.2018.8516539","title":"DOOM Level Generation Using Generative Adversarial Networks","display_name":"DOOM Level Generation Using Generative Adversarial Networks","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2798964688","doi":"https://doi.org/10.1109/gem.2018.8516539","mag":"2798964688"},"language":"en","primary_location":{"id":"doi:10.1109/gem.2018.8516539","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gem.2018.8516539","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Games, Entertainment, Media Conference (GEM)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1804.09154","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078591851","display_name":"Edoardo Giacomello","orcid":"https://orcid.org/0000-0001-9150-1545"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Edoardo Giacomello","raw_affiliation_strings":["Dipartimento di Elettronica, Politecnico di Milano","Dipartimento di Elettronica, Informazione e Bioinformatica, Politecnico di Milano"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica, Politecnico di Milano","institution_ids":["https://openalex.org/I93860229"]},{"raw_affiliation_string":"Dipartimento di Elettronica, Informazione e Bioinformatica, Politecnico di Milano","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040796351","display_name":"Pier Luca Lanzi","orcid":"https://orcid.org/0000-0002-1933-7717"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Pier Luca Lanzi","raw_affiliation_strings":["Dipartimento di Elettronica, Politecnico di Milano","Dipartimento di Elettronica, Informazione e Bioinformatica, Politecnico di Milano"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica, Politecnico di Milano","institution_ids":["https://openalex.org/I93860229"]},{"raw_affiliation_string":"Dipartimento di Elettronica, Informazione e Bioinformatica, Politecnico di Milano","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004851087","display_name":"Daniele Loiacono","orcid":"https://orcid.org/0000-0002-5355-0634"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Daniele Loiacono","raw_affiliation_strings":["Dipartimento di Elettronica, Politecnico di Milano","Dipartimento di Elettronica, Informazione e Bioinformatica, Politecnico di Milano"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica, Politecnico di Milano","institution_ids":["https://openalex.org/I93860229"]},{"raw_affiliation_string":"Dipartimento di Elettronica, Informazione e Bioinformatica, Politecnico di Milano","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I93860229"],"apc_list":null,"apc_paid":null,"fwci":1.8001,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.88468385,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"316","last_page":"323"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9932000041007996,"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":0.9854000210762024,"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-grammar","display_name":"Generative grammar","score":0.8716222047805786},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7666631937026978},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6492103338241577},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6436917781829834},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6182811260223389},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5637881755828857},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5423437356948853},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4415055811405182},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4263349175453186},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34941112995147705}],"concepts":[{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.8716222047805786},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7666631937026978},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6492103338241577},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6436917781829834},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6182811260223389},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5637881755828857},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5423437356948853},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4415055811405182},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4263349175453186},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34941112995147705},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/gem.2018.8516539","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gem.2018.8516539","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Games, Entertainment, Media Conference (GEM)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1804.09154","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1804.09154","pdf_url":"https://arxiv.org/pdf/1804.09154","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2798964688","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1804.09154","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:re.public.polimi.it:11311/1082414","is_oa":false,"landing_page_url":"http://hdl.handle.net/11311/1082414","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.48550/arxiv.1804.09154","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1804.09154","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1804.09154","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1804.09154","pdf_url":"https://arxiv.org/pdf/1804.09154","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2798964688.pdf","grobid_xml":"https://content.openalex.org/works/W2798964688.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W967544008","https://openalex.org/W1522301498","https://openalex.org/W1710476689","https://openalex.org/W1760293109","https://openalex.org/W1834627138","https://openalex.org/W2111308925","https://openalex.org/W2112796928","https://openalex.org/W2133665775","https://openalex.org/W2173520492","https://openalex.org/W2198061512","https://openalex.org/W2248556341","https://openalex.org/W2410369356","https://openalex.org/W2432004435","https://openalex.org/W2534314849","https://openalex.org/W2564591810","https://openalex.org/W2604555320","https://openalex.org/W2605135824","https://openalex.org/W2734741529","https://openalex.org/W2765644156","https://openalex.org/W2949605076","https://openalex.org/W2963073614","https://openalex.org/W2963690854","https://openalex.org/W2973005899","https://openalex.org/W3208504180","https://openalex.org/W6631190155","https://openalex.org/W6637568146","https://openalex.org/W6650793078","https://openalex.org/W6676770471","https://openalex.org/W6685352114","https://openalex.org/W6686164453","https://openalex.org/W6687852859","https://openalex.org/W6691096134","https://openalex.org/W6718379498","https://openalex.org/W6721127235","https://openalex.org/W6729966448","https://openalex.org/W6730746255","https://openalex.org/W6732156205","https://openalex.org/W6733213416","https://openalex.org/W6735913928","https://openalex.org/W6736088049","https://openalex.org/W6741042984","https://openalex.org/W6750595911","https://openalex.org/W6768257272"],"related_works":["https://openalex.org/W2964201809","https://openalex.org/W2887256099","https://openalex.org/W2914998939","https://openalex.org/W2988722050","https://openalex.org/W2766747821","https://openalex.org/W2982138396","https://openalex.org/W3106811106","https://openalex.org/W2980499857","https://openalex.org/W2981967182","https://openalex.org/W2885221386","https://openalex.org/W2997173463","https://openalex.org/W3141413246","https://openalex.org/W2782205452","https://openalex.org/W2999639507","https://openalex.org/W2981896765","https://openalex.org/W2960721352","https://openalex.org/W2994677605","https://openalex.org/W2950275082","https://openalex.org/W2808531200","https://openalex.org/W2972050176"],"abstract_inverted_index":{"We":[0,51,75],"applied":[1],"Generative":[2],"Adversarial":[3],"Networks":[4],"(GANs)":[5],"to":[6,80,88,104,121,126],"learn":[7],"a":[8,32,123],"model":[9],"of":[10,34,48,67,116],"DOOM":[11,117],"levels":[12,20,83,101,118],"from":[13],"human-designed":[14,105],"content.":[15],"Initially,":[16],"we":[17,30],"analyzed":[18],"the":[19,37,40,43,46,63,68,72,77,86,91,96],"and":[21,45,65,84,119],"extracted":[22,31,70],"several":[23],"topological":[24,97],"features.":[25],"Then,":[26],"for":[27],"each":[28],"level,":[29],"set":[33],"images":[35,64],"identifying":[36],"occupied":[38],"area,":[39],"height":[41],"map,":[42],"walls,":[44],"position":[47],"game":[49],"objects.":[50],"trained":[52,93],"two":[53,78],"GANs:":[54],"one":[55,60],"using":[56,61,94],"plain":[57],"level":[58,127],"images,":[59],"both":[62],"some":[66],"features":[69,98],"during":[71],"preliminary":[73],"analysis.":[74],"used":[76],"networks":[79],"generate":[81,100],"new":[82],"compared":[85],"results":[87,108],"assess":[89],"whether":[90],"network":[92],"also":[95],"could":[99],"more":[102],"similar":[103],"ones.":[106],"Our":[107],"show":[109],"that":[110],"GANs":[111],"can":[112],"capture":[113],"intrinsic":[114],"structure":[115],"appears":[120],"be":[122],"promising":[124],"approach":[125],"generation":[128],"in":[129],"first":[130],"person":[131],"shooter":[132],"games.":[133]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}