{"id":"https://openalex.org/W4385027469","doi":"https://doi.org/10.1145/3588432.3591525","title":"Synthesizing Physical Character-Scene Interactions","display_name":"Synthesizing Physical Character-Scene Interactions","publication_year":2023,"publication_date":"2023-07-19","ids":{"openalex":"https://openalex.org/W4385027469","doi":"https://doi.org/10.1145/3588432.3591525"},"language":"en","primary_location":{"id":"doi:10.1145/3588432.3591525","doi":"https://doi.org/10.1145/3588432.3591525","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3588432.3591525","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3588432.3591525","source":{"id":"https://openalex.org/S7407086393","display_name":"ACM SIGGRAPH Conference (SIGGRAPH)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Proceedings","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3588432.3591525","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101570969","display_name":"Mohamed Hassan","orcid":"https://orcid.org/0000-0002-9670-0719","observed_orcids":["https://orcid.org/0000-0002-9670-0719"]},"institutions":[{"id":"https://openalex.org/I4210113251","display_name":"Electronic Arts (United States)","ror":"https://ror.org/0269t5q92","country_code":"US","type":"company","lineage":["https://openalex.org/I4210113251"]},{"id":"https://openalex.org/I4210135521","display_name":"Max Planck Institute for Intelligent Systems","ror":"https://ror.org/04fq9j139","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210135521"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Mohamed Hassan","raw_affiliation_strings":["Max-Planck-Institute for Intelligent Systems, Germany and Electronic Arts, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-9670-0719","affiliations":[{"raw_affiliation_string":"Max-Planck-Institute for Intelligent Systems, Germany and Electronic Arts, United States of America","institution_ids":["https://openalex.org/I4210113251","https://openalex.org/I4210135521"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102864119","display_name":"Yunrong Guo","orcid":"https://orcid.org/0000-0001-7468-6162","observed_orcids":["https://orcid.org/0000-0001-7468-6162"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yunrong Guo","raw_affiliation_strings":["NVIDIA, Canada"],"raw_orcid":"https://orcid.org/0000-0001-7468-6162","affiliations":[{"raw_affiliation_string":"NVIDIA, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091475385","display_name":"Tingwu Wang","orcid":"https://orcid.org/0000-0003-2006-0660","observed_orcids":["https://orcid.org/0000-0003-2006-0660"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tingwu Wang","raw_affiliation_strings":["NVIDIA, Canada"],"raw_orcid":"https://orcid.org/0000-0003-2006-0660","affiliations":[{"raw_affiliation_string":"NVIDIA, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065396778","display_name":"Michael J. Black","orcid":"https://orcid.org/0000-0001-6077-4540","observed_orcids":["https://orcid.org/0000-0001-6077-4540"]},"institutions":[{"id":"https://openalex.org/I4210135521","display_name":"Max Planck Institute for Intelligent Systems","ror":"https://ror.org/04fq9j139","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210135521"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Black","raw_affiliation_strings":["Max-Planck-Institute for Intelligent Systems, Germany"],"raw_orcid":"https://orcid.org/0000-0001-6077-4540","affiliations":[{"raw_affiliation_string":"Max-Planck-Institute for Intelligent Systems, Germany","institution_ids":["https://openalex.org/I4210135521"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070642269","display_name":"Sanja Fidler","orcid":"https://orcid.org/0000-0003-1040-3260","observed_orcids":["https://orcid.org/0000-0003-1040-3260"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sanja Fidler","raw_affiliation_strings":["NVIDIA, Canada"],"raw_orcid":"https://orcid.org/0000-0003-1040-3260","affiliations":[{"raw_affiliation_string":"NVIDIA, Canada","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015133041","display_name":"Xue Bin Peng","orcid":"https://orcid.org/0000-0002-3677-5655","observed_orcids":["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, Canada and Simon Fraser University, Canada"],"raw_orcid":"https://orcid.org/0000-0002-3677-5655","affiliations":[{"raw_affiliation_string":"NVIDIA, Canada and Simon Fraser University, Canada","institution_ids":["https://openalex.org/I18014758"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":27.9128,"has_fulltext":true,"cited_by_count":69,"citation_normalized_percentile":{"value":0.99786299,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9994999766349792,"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":0.9994999766349792,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":9.999999747378752e-05,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-imitation-learning","display_name":"adversarial imitation learning","score":0.8080000281333923},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"reinforcement learning","score":0.8790000081062317},{"id":"https://openalex.org/keywords/motion-realism","display_name":"motion realism","score":0.31700000166893005},{"id":"https://openalex.org/keywords/object-carrying","display_name":"object carrying","score":0.5170000195503235},{"id":"https://openalex.org/keywords/generalization-to-novel-objects","display_name":"novel object generalization","score":0.578000009059906}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7836586236953735},{"id":"https://openalex.org/C90697248","wikidata":"https://www.wikidata.org/wiki/Q1062896","display_name":"Character animation","level":4,"score":0.7269593477249146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.639513373374939},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.6234720349311829},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.580281674861908},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5293738842010498},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5271484851837158},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.49457332491874695},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.4806719720363617},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.47851550579071045},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.44216692447662354},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4394257366657257},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.43023619055747986},{"id":"https://openalex.org/C69369342","wikidata":"https://www.wikidata.org/wiki/Q1401416","display_name":"Computer animation","level":3,"score":0.3692491054534912},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.09134912490844727},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3588432.3591525","doi":"https://doi.org/10.1145/3588432.3591525","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3588432.3591525","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3588432.3591525","source":{"id":"https://openalex.org/S7407086393","display_name":"ACM SIGGRAPH Conference (SIGGRAPH)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Proceedings","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2302.00883","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2302.00883","pdf_url":"https://arxiv.org/pdf/2302.00883","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2302.00883","doi":"https://doi.org/10.48550/arxiv.2302.00883","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2302.00883","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1145/3588432.3591525","doi":"https://doi.org/10.1145/3588432.3591525","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3588432.3591525","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3588432.3591525","source":{"id":"https://openalex.org/S7407086393","display_name":"ACM SIGGRAPH Conference (SIGGRAPH)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Proceedings","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385027469.pdf","grobid_xml":"https://content.openalex.org/works/W4385027469.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W1977259876","https://openalex.org/W2017913224","https://openalex.org/W2018571963","https://openalex.org/W2028098496","https://openalex.org/W2042408133","https://openalex.org/W2043878167","https://openalex.org/W2068805854","https://openalex.org/W2115096495","https://openalex.org/W2150884987","https://openalex.org/W2168933799","https://openalex.org/W2469134594","https://openalex.org/W2611706523","https://openalex.org/W2624871570","https://openalex.org/W2726187156","https://openalex.org/W2796290181","https://openalex.org/W2802441648","https://openalex.org/W2811441028","https://openalex.org/W2899718839","https://openalex.org/W2913059114","https://openalex.org/W2946054758","https://openalex.org/W2986708244","https://openalex.org/W2987886924","https://openalex.org/W3048539707","https://openalex.org/W3048659003","https://openalex.org/W3048710353","https://openalex.org/W3108521017","https://openalex.org/W3147968035","https://openalex.org/W3164631379","https://openalex.org/W3165605660","https://openalex.org/W3185319321","https://openalex.org/W3193576605","https://openalex.org/W3193979160","https://openalex.org/W3207318282","https://openalex.org/W4229044820","https://openalex.org/W4229890538","https://openalex.org/W4248010398","https://openalex.org/W4286611079","https://openalex.org/W4312612133"],"related_works":["https://openalex.org/W4399574160","https://openalex.org/W4404966227","https://openalex.org/W2531308162","https://openalex.org/W4385526363","https://openalex.org/W4398229965","https://openalex.org/W7015208336","https://openalex.org/W4310896104","https://openalex.org/W4390871696","https://openalex.org/W2986708244","https://openalex.org/W6948505540"],"abstract_inverted_index":{"Movement":[0],"is":[1,15,216],"how":[2],"people":[3],"interact":[4],"with":[5,50,53],"and":[6,24,47,83,98,149,171,200,209,223,241],"affect":[7],"their":[8,25,210],"environment.":[9,187],"For":[10],"realistic":[11],"character":[12,31,247],"animation,":[13],"it":[14],"necessary":[16],"to":[17,86,183,191,218,253],"synthesize":[18,61],"such":[19],"interactions":[20,52,63,121,233],"between":[21,194],"virtual":[22],"characters":[23,89],"surroundings.":[26],"Despite":[27],"recent":[28],"progress":[29],"in":[30,44,95,181,185,226],"animation":[32],"using":[33,124],"machine":[34],"learning,":[35],"most":[36],"systems":[37],"focus":[38],"on":[39,153],"controlling":[40],"an":[41,125],"agent\u2019s":[42],"movements":[43,180],"fairly":[45],"simple":[46],"homogeneous":[48],"environments,":[49],"limited":[51],"other":[54],"objects.":[55],"Furthermore,":[56],"many":[57],"previous":[58],"approaches":[59],"that":[60,78,90,128],"human-scene":[62],"require":[64,175],"significant":[65],"manual":[66,113],"labeling":[67],"of":[68,115,132,138,160,177,206,238],"the":[69,116,130,136,147,150,158,186,204,207,221,227],"training":[70,228],"data.":[71,118],"In":[72],"contrast,":[73],"we":[74],"present":[75],"a":[76,96,133,139,178,235,250],"system":[77],"uses":[79],"adversarial":[80,126],"imitation":[81],"learning":[82,85],"reinforcement":[84],"train":[87],"physically-simulated":[88],"perform":[91],"scene":[92,104,120,154,166],"interaction":[93,105,167],"tasks":[94],"natural":[97,231],"life-like":[99],"manner.":[100],"Our":[101,188],"method":[102,215],"learns":[103],"behaviors":[106,196],"from":[107],"large":[108],"unstructured":[109],"motion":[110,117,134,248],"datasets,":[111],"without":[112],"annotation":[114],"These":[119],"are":[122],"learned":[123],"discriminator":[127,148],"evaluates":[129],"realism":[131],"within":[135],"context":[137],"scene.":[140],"The":[141,243],"key":[142],"novelty":[143],"involves":[144],"conditioning":[145],"both":[146],"policy":[151],"networks":[152],"context.":[155],"We":[156],"demonstrate":[157],"effectiveness":[159],"our":[161,214,258],"approach":[162,244],"through":[163],"three":[164],"challenging":[165],"tasks:":[168],"carrying,":[169],"sitting,":[170],"lying":[172],"down,":[173],"which":[174],"coordination":[176],"character\u2019s":[179],"relation":[182],"objects":[184,208,222],"policies":[189],"learn":[190],"seamlessly":[192],"transition":[193],"different":[195],"like":[197],"idling,":[198],"walking,":[199],"sitting.":[201],"By":[202],"randomizing":[203],"properties":[205],"placements":[211],"during":[212],"training,":[213],"able":[217],"generalize":[219],"beyond":[220],"scenarios":[224],"depicted":[225],"dataset,":[229],"producing":[230],"character-scene":[232],"for":[234,261],"wide":[236],"variety":[237],"object":[239],"shapes":[240],"placements.":[242],"takes":[245],"physics-based":[246],"generation":[249],"step":[251],"closer":[252],"broad":[254],"applicability.":[255],"Please":[256],"see":[257],"supplementary":[259],"video":[260],"more":[262],"results.":[263]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":30},{"year":2023,"cited_by_count":9}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2023-07-22T00:00:00"}