{"id":"https://openalex.org/W4385271020","doi":"https://doi.org/10.1145/3592408","title":"Learning Physically Simulated Tennis Skills from Broadcast Videos","display_name":"Learning Physically Simulated Tennis Skills from Broadcast Videos","publication_year":2023,"publication_date":"2023-07-26","ids":{"openalex":"https://openalex.org/W4385271020","doi":"https://doi.org/10.1145/3592408"},"language":"en","primary_location":{"id":"doi:10.1145/3592408","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3592408","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/A5100392974","display_name":"Haotian Zhang","orcid":"https://orcid.org/0009-0008-0293-337X"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Haotian Zhang","raw_affiliation_strings":["Stanford University, Stanford, United States of America"],"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, United States of America","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081199756","display_name":"Ye Yuan","orcid":"https://orcid.org/0000-0001-5316-6002"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ye Yuan","raw_affiliation_strings":["NVIDIA, Santa Clara, United States of America"],"affiliations":[{"raw_affiliation_string":"NVIDIA, Santa Clara, United States of America","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015973866","display_name":"Viktor Makoviychuk","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Viktor Makoviychuk","raw_affiliation_strings":["NVIDIA, Santa Clara, United States of America"],"affiliations":[{"raw_affiliation_string":"NVIDIA, Santa Clara, United States of America","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102864119","display_name":"Yunrong Guo","orcid":"https://orcid.org/0000-0001-7468-6162"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yunrong Guo","raw_affiliation_strings":["NVIDIA, Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"NVIDIA, Toronto, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070642269","display_name":"Sanja Fidler","orcid":"https://orcid.org/0000-0003-1040-3260"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sanja Fidler","raw_affiliation_strings":["NVIDIA, Toronto, Canada","University of Toronto, Toronto, Canada","NVIDIA, Toronto, Canada University of Toronto, Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"NVIDIA, Toronto, Canada","institution_ids":[]},{"raw_affiliation_string":"University of Toronto, Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"NVIDIA, Toronto, Canada University of Toronto, Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015133041","display_name":"Xue Bin Peng","orcid":"https://orcid.org/0000-0002-3677-5655"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xue Bin Peng","raw_affiliation_strings":["NVIDIA, Vancouver, Canada","Simon Fraser University, Vancouver, Canada","NVIDIA, Vancouver, Canada Simon Fraser University, Vancouver, Canada"],"affiliations":[{"raw_affiliation_string":"NVIDIA, Vancouver, Canada","institution_ids":[]},{"raw_affiliation_string":"Simon Fraser University, Vancouver, Canada","institution_ids":["https://openalex.org/I18014758"]},{"raw_affiliation_string":"NVIDIA, Vancouver, Canada Simon Fraser University, Vancouver, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037444018","display_name":"Kayvon Fatahalian","orcid":"https://orcid.org/0000-0001-8754-0429"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kayvon Fatahalian","raw_affiliation_strings":["Stanford University, Stanford, United States of America"],"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, United States of America","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100392974"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":8.2289,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.98245721,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"42","issue":"4","first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9993000030517578,"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":0.9933000206947327,"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/racket","display_name":"Racket","score":0.7864008545875549},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7554430961608887},{"id":"https://openalex.org/keywords/tennis-ball","display_name":"Tennis ball","score":0.5704951286315918},{"id":"https://openalex.org/keywords/imitation","display_name":"Imitation","score":0.5018839836120605},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4830825626850128},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.44586411118507385},{"id":"https://openalex.org/keywords/ball","display_name":"Ball (mathematics)","score":0.4333673417568207},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.43136781454086304},{"id":"https://openalex.org/keywords/broadcasting","display_name":"Broadcasting (networking)","score":0.4186892509460449},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4132139980792999},{"id":"https://openalex.org/keywords/rendezvous","display_name":"Rendezvous","score":0.4121555685997009},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.409220814704895},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.32410794496536255}],"concepts":[{"id":"https://openalex.org/C2778707667","wikidata":"https://www.wikidata.org/wiki/Q1254148","display_name":"Racket","level":3,"score":0.7864008545875549},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7554430961608887},{"id":"https://openalex.org/C2992174615","wikidata":"https://www.wikidata.org/wiki/Q246514","display_name":"Tennis ball","level":3,"score":0.5704951286315918},{"id":"https://openalex.org/C126388530","wikidata":"https://www.wikidata.org/wiki/Q1131737","display_name":"Imitation","level":2,"score":0.5018839836120605},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4830825626850128},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.44586411118507385},{"id":"https://openalex.org/C122041747","wikidata":"https://www.wikidata.org/wiki/Q838611","display_name":"Ball (mathematics)","level":2,"score":0.4333673417568207},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.43136781454086304},{"id":"https://openalex.org/C110157686","wikidata":"https://www.wikidata.org/wiki/Q922122","display_name":"Broadcasting (networking)","level":2,"score":0.4186892509460449},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4132139980792999},{"id":"https://openalex.org/C2779968344","wikidata":"https://www.wikidata.org/wiki/Q3932925","display_name":"Rendezvous","level":3,"score":0.4121555685997009},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.409220814704895},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.32410794496536255},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C29829512","wikidata":"https://www.wikidata.org/wiki/Q40218","display_name":"Spacecraft","level":2,"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C2780101202","wikidata":"https://www.wikidata.org/wiki/Q768186","display_name":"sports equipment","level":2,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C65655974","wikidata":"https://www.wikidata.org/wiki/Q14867674","display_name":"Swing","level":2,"score":0.0},{"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/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3592408","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3592408","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":[{"display_name":"Quality Education","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W1655729963","https://openalex.org/W1967554269","https://openalex.org/W2010302808","https://openalex.org/W2018571963","https://openalex.org/W2042408133","https://openalex.org/W2043878167","https://openalex.org/W2057927326","https://openalex.org/W2073531546","https://openalex.org/W2076806230","https://openalex.org/W2120894402","https://openalex.org/W2483862638","https://openalex.org/W2535579907","https://openalex.org/W2550399328","https://openalex.org/W2573098616","https://openalex.org/W2611932403","https://openalex.org/W2737756234","https://openalex.org/W2739330054","https://openalex.org/W2796290181","https://openalex.org/W2798637590","https://openalex.org/W2809890486","https://openalex.org/W2811441028","https://openalex.org/W2888934629","https://openalex.org/W2902791462","https://openalex.org/W2956061722","https://openalex.org/W2957323419","https://openalex.org/W2962754033","https://openalex.org/W2962896489","https://openalex.org/W2963355540","https://openalex.org/W2963995996","https://openalex.org/W2965523038","https://openalex.org/W2971856312","https://openalex.org/W2975420824","https://openalex.org/W2984579799","https://openalex.org/W2987886924","https://openalex.org/W2990270790","https://openalex.org/W3035427621","https://openalex.org/W3035551320","https://openalex.org/W3044670941","https://openalex.org/W3048550213","https://openalex.org/W3048659003","https://openalex.org/W3096676935","https://openalex.org/W3104515094","https://openalex.org/W3105609823","https://openalex.org/W3106857494","https://openalex.org/W3147968035","https://openalex.org/W3160273689","https://openalex.org/W3164631379","https://openalex.org/W3167491448","https://openalex.org/W3178350420","https://openalex.org/W3181074849","https://openalex.org/W3184085787","https://openalex.org/W4200420145","https://openalex.org/W4200493783","https://openalex.org/W4205985701","https://openalex.org/W4206665678","https://openalex.org/W4229044820","https://openalex.org/W4235375376","https://openalex.org/W4246479614","https://openalex.org/W4248113204","https://openalex.org/W4255601041","https://openalex.org/W4285981737","https://openalex.org/W4286611079","https://openalex.org/W4306177961","https://openalex.org/W4312261745","https://openalex.org/W6786189056"],"related_works":["https://openalex.org/W2367617866","https://openalex.org/W2042587679","https://openalex.org/W2500432627","https://openalex.org/W2605873688","https://openalex.org/W2356577494","https://openalex.org/W2039793004","https://openalex.org/W1993385799","https://openalex.org/W2033638498","https://openalex.org/W3168583331","https://openalex.org/W1995322530"],"abstract_inverted_index":{"We":[0,138],"present":[1],"a":[2,29,34,44,61,118,160],"system":[3,142,182],"that":[4,59,122,140,149],"learns":[5],"diverse,":[6],"physically":[7,186],"simulated":[8,187,194],"tennis":[9,15,68,75,147,191],"skills":[10,77],"from":[11,18,48,106],"large-scale":[12],"demonstrations":[13],"of":[14,64,66,95,103,126,163],"play":[16],"harvested":[17],"broadcast":[19,49,107],"videos.":[20,50],"Our":[21],"approach":[22,71],"is":[23,205],"built":[24],"upon":[25],"hierarchical":[26],"models,":[27],"combining":[28],"low-level":[30],"imitation":[31],"policy":[32,38,121],"and":[33,78,91,116,167,171,173,196,200],"high-level":[35,136],"motion":[36,45,112,129],"planning":[37],"to":[39,155],"steer":[40],"the":[41,100,127,135,152],"character":[42],"in":[43],"embedding":[46,130],"learned":[47,128],"When":[51],"deployed":[52],"at":[53,207],"scale":[54],"on":[55],"large":[56],"video":[57],"collections":[58],"encompass":[60],"vast":[62],"set":[63],"examples":[65],"real-world":[67],"play,":[69],"our":[70,141,181],"can":[72,150,183],"learn":[73],"complex":[74],"shotmaking":[76],"realistically":[79],"chain":[80],"together":[81],"multiple":[82],"shots":[83],"into":[84],"extended":[85,190],"rallies,":[86],"using":[87,159],"only":[88],"simple":[89],"rewards":[90],"without":[92],"explicit":[93],"annotations":[94],"stroke":[96],"types.":[97],"To":[98],"address":[99],"low":[101],"quality":[102],"motions":[104],"extracted":[105],"videos,":[108],"we":[109],"correct":[110],"estimated":[111],"with":[113,131,193],"physics-based":[114],"imitation,":[115],"use":[117],"hybrid":[119],"control":[120],"overrides":[123],"erroneous":[124],"aspects":[125],"corrections":[132],"predicted":[133],"by":[134],"policy.":[137],"demonstrate":[139],"produces":[143],"controllers":[144],"for":[145,202],"physically-simulated":[146],"players":[148],"hit":[151],"incoming":[153],"ball":[154,197],"target":[156],"positions":[157],"accurately":[158],"diverse":[161],"array":[162],"strokes":[164],"(serves,":[165],"forehands,":[166],"backhands),":[168],"spins":[169],"(topspins":[170],"slices),":[172],"playing":[174,189],"styles":[175],"(one/two-handed":[176],"backhands,":[177],"left/right-handed":[178],"play).":[179],"Overall,":[180],"synthesize":[184],"two":[185],"characters":[188],"rallies":[192],"racket":[195],"dynamics.":[198],"Code":[199],"data":[201],"this":[203],"work":[204],"available":[206],"https://research.nvidia.com/labs/toronto-ai/vid2player3d/.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}