{"id":"https://openalex.org/W3201637350","doi":"https://doi.org/10.1109/mmul.2021.3113312","title":"Generating Dance Videos Using Pose Transfer Generative Adversarial Network With Multiple Scale Region Extractor and Learnable Region Normalization","display_name":"Generating Dance Videos Using Pose Transfer Generative Adversarial Network With Multiple Scale Region Extractor and Learnable Region Normalization","publication_year":2021,"publication_date":"2021-09-20","ids":{"openalex":"https://openalex.org/W3201637350","doi":"https://doi.org/10.1109/mmul.2021.3113312","mag":"3201637350"},"language":"en","primary_location":{"id":"doi:10.1109/mmul.2021.3113312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmul.2021.3113312","pdf_url":null,"source":{"id":"https://openalex.org/S72873717","display_name":"IEEE Multimedia","issn_l":"1070-986X","issn":["1070-986X","1941-0166"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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 MultiMedia","raw_type":"journal-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/A5028504321","display_name":"Hsu-Yung Cheng","orcid":"https://orcid.org/0000-0002-8342-7450"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsu-Yung Cheng","raw_affiliation_strings":["National Central University, Taoyuan, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-8342-7450","affiliations":[{"raw_affiliation_string":"National Central University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021766012","display_name":"Chih-Chang Yu","orcid":"https://orcid.org/0000-0003-1611-0223"},"institutions":[{"id":"https://openalex.org/I151221077","display_name":"Chung Yuan Christian University","ror":"https://ror.org/02w8ws377","country_code":"TW","type":"education","lineage":["https://openalex.org/I151221077"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Chang Yu","raw_affiliation_strings":["Chung Yuan Christian University, Taoyuan City, Taiwan"],"raw_orcid":"https://orcid.org/0000-0003-1611-0223","affiliations":[{"raw_affiliation_string":"Chung Yuan Christian University, Taoyuan City, Taiwan","institution_ids":["https://openalex.org/I151221077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102024244","display_name":"Chih-Lung Lin","orcid":"https://orcid.org/0000-0003-0831-8251"},"institutions":[{"id":"https://openalex.org/I88780834","display_name":"Hwa Hsia University of Technology","ror":"https://ror.org/02mfjgm25","country_code":"TW","type":"education","lineage":["https://openalex.org/I88780834"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Lung Lin","raw_affiliation_strings":["Graduate Institute of Intelligent Robotics, Hwa Hsia University of Technology, New Taipei City, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Intelligent Robotics, Hwa Hsia University of Technology, New Taipei City, Taiwan","institution_ids":["https://openalex.org/I88780834"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.097,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.40431606,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"29","issue":"1","first_page":"47","last_page":"54"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9983999729156494,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9983999729156494,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9969000220298767,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9918000102043152,"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/normalization","display_name":"Normalization (sociology)","score":0.8364447355270386},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7947779893875122},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6768471002578735},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5904852151870728},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.5662764310836792},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41830235719680786}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.8364447355270386},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7947779893875122},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6768471002578735},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5904852151870728},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.5662764310836792},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41830235719680786},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmul.2021.3113312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmul.2021.3113312","pdf_url":null,"source":{"id":"https://openalex.org/S72873717","display_name":"IEEE Multimedia","issn_l":"1070-986X","issn":["1070-986X","1941-0166"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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 MultiMedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2117539524","https://openalex.org/W2133665775","https://openalex.org/W2179352600","https://openalex.org/W2204750386","https://openalex.org/W2471768434","https://openalex.org/W2475287302","https://openalex.org/W2559085405","https://openalex.org/W2630837129","https://openalex.org/W2771558241","https://openalex.org/W2890816492","https://openalex.org/W2962819541","https://openalex.org/W2963073614","https://openalex.org/W2963266880","https://openalex.org/W2963373786","https://openalex.org/W2963630103","https://openalex.org/W2964002510","https://openalex.org/W2964287360","https://openalex.org/W2997669187","https://openalex.org/W3098722327","https://openalex.org/W4320013936","https://openalex.org/W6639824700","https://openalex.org/W6718379498","https://openalex.org/W6738824914","https://openalex.org/W6739696289"],"related_works":["https://openalex.org/W2533072256","https://openalex.org/W2102340963","https://openalex.org/W1540444031","https://openalex.org/W2016839265","https://openalex.org/W2004978530","https://openalex.org/W1602413925","https://openalex.org/W2026045458","https://openalex.org/W4220912900","https://openalex.org/W1991269640","https://openalex.org/W1586418132"],"abstract_inverted_index":{"In":[0,100],"this":[1],"article,":[2],"we":[3],"propose":[4],"a":[5,31,75],"pose":[6,140],"transfer":[7],"framework":[8,113],"that":[9,132],"can":[10,45,136],"deal":[11],"with":[12,144],"large":[13,29,151],"body":[14,25,43,57,86,152],"motion":[15],"to":[16,55,64,67,88,92,114],"generate":[17],"dance":[18],"videos.":[19],"To":[20],"solve":[21],"the":[22,52,56,65,69,81,85,89,94,97,102,111,123,133,139,155],"problem":[23],"of":[24,41,51,84,96,104],"shape":[26],"deformation":[27],"from":[28,48],"movements,":[30],"multiple":[32,49],"scale":[33],"region":[34,44,76,106],"extractor":[35],"(MSRE)":[36],"is":[37,108],"proposed.":[38],"The":[39,128],"features":[40],"each":[42],"be":[46],"extracted":[47],"layers":[50],"encoder":[53],"according":[54],"key":[58],"points":[59],"and":[60,119],"passed":[61],"through":[62],"shortcuts":[63],"decoder":[66],"reduce":[68],"spatial":[70],"information":[71],"loss.":[72],"We":[73],"add":[74],"style":[77,82],"loss":[78,90],"calculated":[79],"by":[80,122],"representations":[83],"regions":[87,125],"function":[91],"improve":[93,138],"quality":[95],"generated":[98],"images.":[99],"addition,":[101],"concept":[103],"learnable":[105],"normalization":[107],"integrated":[109],"into":[110],"proposed":[112,134],"prevent":[115],"introducing":[116],"undesired":[117],"mean":[118],"variance":[120],"shifts":[121],"corrupted":[124],"during":[126],"normalization.":[127],"experiments":[129],"have":[130],"shown":[131],"system":[135],"significantly":[137],"generation":[141],"results":[142],"compared":[143],"existing":[145],"methods,":[146],"especially":[147],"when":[148],"there":[149],"are":[150],"movements":[153],"in":[154],"dancing":[156],"poses.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}