{"id":"https://openalex.org/W2922107756","doi":"https://doi.org/10.23919/apsipa.2018.8659648","title":"Generative adversarial networks for generating RGB-D videos","display_name":"Generative adversarial networks for generating RGB-D videos","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2922107756","doi":"https://doi.org/10.23919/apsipa.2018.8659648","mag":"2922107756"},"language":"en","primary_location":{"id":"doi:10.23919/apsipa.2018.8659648","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apsipa.2018.8659648","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5028605536","display_name":"Yuki Nakahira","orcid":null},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yuki Nakahira","raw_affiliation_strings":["Chiba University, Chiba, Japan"],"affiliations":[{"raw_affiliation_string":"Chiba University, Chiba, Japan","institution_ids":["https://openalex.org/I159385669"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010514962","display_name":"Kazuhiko Kawamoto","orcid":"https://orcid.org/0000-0003-3701-1961"},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuhiko Kawamoto","raw_affiliation_strings":["Chiba University, Chiba, Japan"],"affiliations":[{"raw_affiliation_string":"Chiba University, Chiba, Japan","institution_ids":["https://openalex.org/I159385669"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5028605536"],"corresponding_institution_ids":["https://openalex.org/I159385669"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19594558,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1276","last_page":"1281"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9988999962806702,"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":0.9980999827384949,"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":0.8354878425598145},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.8001484274864197},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7034728527069092},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6576086282730103},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6325328946113586},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6299200057983398},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.6136205196380615},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4679642617702484},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.4240306615829468},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38234323263168335},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3451539874076843}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8354878425598145},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.8001484274864197},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7034728527069092},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6576086282730103},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6325328946113586},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6299200057983398},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.6136205196380615},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4679642617702484},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.4240306615829468},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38234323263168335},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3451539874076843},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/apsipa.2018.8659648","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apsipa.2018.8659648","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1913860614","https://openalex.org/W1924770834","https://openalex.org/W2031059688","https://openalex.org/W2099471712","https://openalex.org/W2163309385","https://openalex.org/W2342311830","https://openalex.org/W2520707650","https://openalex.org/W2523714292","https://openalex.org/W2599226450","https://openalex.org/W2604736759","https://openalex.org/W2737548191","https://openalex.org/W2750980686","https://openalex.org/W2949099979","https://openalex.org/W2962760235","https://openalex.org/W2962793481","https://openalex.org/W2962962024","https://openalex.org/W2963073614","https://openalex.org/W2963092440","https://openalex.org/W2963373786","https://openalex.org/W2963470893","https://openalex.org/W2963684088","https://openalex.org/W2964134613","https://openalex.org/W4294643831","https://openalex.org/W4320013936","https://openalex.org/W6640067882","https://openalex.org/W6640212811","https://openalex.org/W6718379498","https://openalex.org/W6726983635","https://openalex.org/W6745560452"],"related_works":["https://openalex.org/W2888032422","https://openalex.org/W3156763702","https://openalex.org/W4385421777","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W2969215546","https://openalex.org/W4297411772","https://openalex.org/W4226298148","https://openalex.org/W4283758926","https://openalex.org/W3005996785"],"abstract_inverted_index":{"Generative":[0],"adversarial":[1],"networks(GANs)":[2],"have":[3,14],"been":[4,15],"successfully":[5],"applied":[6],"for":[7,52],"generating":[8,35],"high":[9],"quality":[10,90],"natural":[11],"images":[12],"and":[13,23,43,55,80,103,106],"extended":[16,75],"to":[17,100],"the":[18,32,53,78,88],"generation":[19],"of":[20,34,77,97],"RGB":[21],"videos":[22],"3D":[24],"volume":[25],"data.":[26],"In":[27],"this":[28],"paper":[29],"we":[30,70],"consider":[31],"task":[33],"RGB-D":[36,91],"videos,":[37],"which":[38],"is":[39],"less":[40],"extensively":[41],"studied":[42],"still":[44],"challenging.":[45],"We":[46,93],"explore":[47],"deep":[48],"GAN":[49,58,99],"architectures":[50,59],"suitable":[51],"task,":[54],"develop":[56],"4":[57],"based":[60],"on":[61],"existing":[62],"video-based":[63],"GANs.":[64],"With":[65],"a":[66],"facial":[67],"expression":[68],"database,":[69],"experimentally":[71],"find":[72],"that":[73],"an":[74],"version":[76],"motion":[79],"content":[81,101],"decomposed":[82],"GANs,":[83],"known":[84],"as":[85],"MoCoGAN,":[86],"provides":[87],"highest":[89],"videos.":[92],"discuss":[94,108],"several":[95],"applications":[96,111],"our":[98],"creation":[102],"data":[104],"augmentation,":[105],"also":[107],"its":[109],"potential":[110],"in":[112],"behavioral":[113],"experiments.":[114]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}