{"id":"https://openalex.org/W4286611302","doi":"https://doi.org/10.1145/3528223.3530178","title":"DeepPhase","display_name":"DeepPhase","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4286611302","doi":"https://doi.org/10.1145/3528223.3530178"},"language":"en","primary_location":{"id":"doi:10.1145/3528223.3530178","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3528223.3530178","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","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/A5102811169","display_name":"Sebastian Starke","orcid":"https://orcid.org/0000-0002-4519-4326"},"institutions":[{"id":"https://openalex.org/I4210086256","display_name":"Electronic Arts (United Kingdom)","ror":"https://ror.org/001te2382","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210086256","https://openalex.org/I4210113251"]},{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sebastian Starke","raw_affiliation_strings":["The University of Edinburgh, UK and Electronic Arts"],"raw_orcid":"https://orcid.org/0000-0002-4519-4326","affiliations":[{"raw_affiliation_string":"The University of Edinburgh, UK and Electronic Arts","institution_ids":["https://openalex.org/I98677209","https://openalex.org/I4210086256"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076685233","display_name":"Ian Mason","orcid":"https://orcid.org/0000-0003-3091-9045"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ian Mason","raw_affiliation_strings":["The University of Edinburgh, UK"],"raw_orcid":"https://orcid.org/0000-0003-3091-9045","affiliations":[{"raw_affiliation_string":"The University of Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014324841","display_name":"Taku Komura","orcid":"https://orcid.org/0000-0002-2729-5860"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Taku Komura","raw_affiliation_strings":["The University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-2729-5860","affiliations":[{"raw_affiliation_string":"The University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.97,"has_fulltext":false,"cited_by_count":129,"citation_normalized_percentile":{"value":0.99465704,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"41","issue":"4","first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9991999864578247,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9955000281333923,"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":0.7283079028129578},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6321828365325928},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.623353123664856},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5910364985466003},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.5854324102401733},{"id":"https://openalex.org/keywords/animation","display_name":"Animation","score":0.5407178401947021},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5200875997543335},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4725598692893982},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4356077313423157},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43060302734375},{"id":"https://openalex.org/keywords/character-animation","display_name":"Character animation","score":0.4273761808872223},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.38084307312965393},{"id":"https://openalex.org/keywords/computer-animation","display_name":"Computer animation","score":0.28978273272514343},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.1710290014743805}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7283079028129578},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6321828365325928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.623353123664856},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5910364985466003},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.5854324102401733},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.5407178401947021},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5200875997543335},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4725598692893982},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4356077313423157},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43060302734375},{"id":"https://openalex.org/C90697248","wikidata":"https://www.wikidata.org/wiki/Q1062896","display_name":"Character animation","level":4,"score":0.4273761808872223},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.38084307312965393},{"id":"https://openalex.org/C69369342","wikidata":"https://www.wikidata.org/wiki/Q1401416","display_name":"Computer animation","level":3,"score":0.28978273272514343},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.1710290014743805},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3528223.3530178","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3528223.3530178","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G7257119617","display_name":null,"funder_award_id":"JPNP21004","funder_id":"https://openalex.org/F4320321680","funder_display_name":"New Energy and Industrial Technology Development Organization"}],"funders":[{"id":"https://openalex.org/F4320321680","display_name":"New Energy and Industrial Technology Development Organization","ror":"https://ror.org/0055k7a87"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W158310253","https://openalex.org/W1481508412","https://openalex.org/W2004167999","https://openalex.org/W2045459928","https://openalex.org/W2053886812","https://openalex.org/W2067502459","https://openalex.org/W2071214501","https://openalex.org/W2083382040","https://openalex.org/W2086637623","https://openalex.org/W2117553976","https://openalex.org/W2144231991","https://openalex.org/W2148941619","https://openalex.org/W2151857564","https://openalex.org/W2296629652","https://openalex.org/W2336236730","https://openalex.org/W2460299708","https://openalex.org/W2469134594","https://openalex.org/W2471723840","https://openalex.org/W2611706523","https://openalex.org/W2739330054","https://openalex.org/W2796290181","https://openalex.org/W2801567109","https://openalex.org/W2945629925","https://openalex.org/W2963341956","https://openalex.org/W2984579799","https://openalex.org/W2986708244","https://openalex.org/W2987886924","https://openalex.org/W3021055704","https://openalex.org/W3048474702","https://openalex.org/W3048539707","https://openalex.org/W3048550213","https://openalex.org/W3048659003","https://openalex.org/W3048710353","https://openalex.org/W3099126917","https://openalex.org/W3104515094","https://openalex.org/W3107914916","https://openalex.org/W3136127717","https://openalex.org/W3184482500","https://openalex.org/W3186838894","https://openalex.org/W4200400891","https://openalex.org/W4200488825","https://openalex.org/W4200526174","https://openalex.org/W4205471895","https://openalex.org/W4248876013","https://openalex.org/W4249614167","https://openalex.org/W4254276231"],"related_works":["https://openalex.org/W3169129874","https://openalex.org/W2018882065","https://openalex.org/W4210514273","https://openalex.org/W2964256366","https://openalex.org/W2350725650","https://openalex.org/W2379697716","https://openalex.org/W4246568043","https://openalex.org/W4244435162","https://openalex.org/W3094080214","https://openalex.org/W2221113372"],"abstract_inverted_index":{"Learning":[0],"the":[1,26,54,97,111],"spatial-temporal":[2],"structure":[3],"of":[4,57,126,140],"body":[5,59],"movements":[6,45],"is":[7],"a":[8,20,69,83,91,124],"fundamental":[9],"problem":[10],"for":[11,148],"character":[12,44],"motion":[13,37,75,99,121,135,146],"synthesis.":[14],"In":[15],"this":[16],"work,":[17],"we":[18],"propose":[19],"novel":[21],"neural":[22,120],"network":[23],"architecture":[24],"called":[25],"Periodic":[27],"Autoencoder":[28],"that":[29,52,110],"can":[30,115],"learn":[31],"periodic":[32,113],"features":[33],"from":[34,73,137],"large":[35,152],"unstructured":[36],"datasets":[38],"in":[39,64,85,96,123,143],"an":[40],"unsupervised":[41],"manner.":[42],"The":[43],"are":[46],"decomposed":[47],"into":[48],"multiple":[49],"latent":[50],"channels":[51],"capture":[53],"non-linear":[55],"periodicity":[56],"different":[58],"segments":[60],"while":[61],"progressing":[62],"forward":[63],"time.":[65],"Our":[66],"method":[67],"extracts":[68],"multi-dimensional":[70],"phase":[71],"space":[72,100],"full-body":[74],"data,":[76],"which":[77,86],"effectively":[78],"clusters":[79],"animations":[80],"and":[81,105,145],"produces":[82],"manifold":[84],"computed":[87],"feature":[88],"distances":[89],"provide":[90],"better":[92,103],"similarity":[93],"measure":[94],"than":[95],"original":[98],"to":[101,118],"achieve":[102],"temporal":[104],"spatial":[106],"alignment.":[107],"We":[108],"demonstrate":[109],"learned":[112],"embedding":[114],"significantly":[116],"help":[117],"improve":[119],"synthesis":[122,136,139],"number":[125],"tasks,":[127],"including":[128],"diverse":[129],"locomotion":[130],"skills,":[131],"style-based":[132],"movements,":[133],"dance":[134],"music,":[138],"dribbling":[141],"motions":[142],"football,":[144],"query":[147],"matching":[149],"poses":[150],"within":[151],"animation":[153],"databases.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":35},{"year":2024,"cited_by_count":43},{"year":2023,"cited_by_count":40},{"year":2022,"cited_by_count":4}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2022-07-22T00:00:00"}
