{"id":"https://openalex.org/W4404527030","doi":"https://doi.org/10.1145/3687985","title":"Multi-Resolution Real-Time Deep Pose-Space Deformation","display_name":"Multi-Resolution Real-Time Deep Pose-Space Deformation","publication_year":2024,"publication_date":"2024-11-19","ids":{"openalex":"https://openalex.org/W4404527030","doi":"https://doi.org/10.1145/3687985"},"language":"en","primary_location":{"id":"doi:10.1145/3687985","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3687985","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3687985","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3687985","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053210837","display_name":"Mianlun Zheng","orcid":"https://orcid.org/0000-0002-6445-9465"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mianlun Zheng","raw_affiliation_strings":["University of Southern California, Los Angeles, United States of America"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, United States of America","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089078793","display_name":"Jernej Barbi\u010d","orcid":"https://orcid.org/0000-0002-6371-9018"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jernej Barbic","raw_affiliation_strings":["University of Southern California, Los Angeles, United States of America"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, United States of America","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5053210837"],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":0.3996,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59704896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"43","issue":"6","first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9983000159263611,"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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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"}},{"id":"https://openalex.org/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.9973999857902527,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6149514317512512},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5982257723808289},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5962485671043396},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4567072093486786},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.445512592792511},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.42633792757987976},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.36568760871887207},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20190173387527466}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6149514317512512},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5982257723808289},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5962485671043396},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4567072093486786},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.445512592792511},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.42633792757987976},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.36568760871887207},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20190173387527466},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3687985","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3687985","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3687985","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3687985","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3687985","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3687985","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4470275777","display_name":null,"funder_award_id":"IIS-1911224","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404527030.pdf"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1967554269","https://openalex.org/W1978762550","https://openalex.org/W1993962870","https://openalex.org/W2021369132","https://openalex.org/W2033694016","https://openalex.org/W2090782210","https://openalex.org/W2157721313","https://openalex.org/W2572442296","https://openalex.org/W2795008545","https://openalex.org/W2964994311","https://openalex.org/W3022721962","https://openalex.org/W3107337486","https://openalex.org/W3138143451","https://openalex.org/W3211605429","https://openalex.org/W4235375376","https://openalex.org/W4256534192","https://openalex.org/W4293102147","https://openalex.org/W6749700126"],"related_works":["https://openalex.org/W1517180214","https://openalex.org/W2082780921","https://openalex.org/W2025517136","https://openalex.org/W2028664052","https://openalex.org/W634414395","https://openalex.org/W2186016250","https://openalex.org/W1584839083","https://openalex.org/W4255305805","https://openalex.org/W1601094116","https://openalex.org/W2076663305"],"abstract_inverted_index":{"We":[0,67,273],"present":[1],"a":[2,46,76,86,93,223,237,281],"hard-real-time":[3],"multi-resolution":[4,36,105,216],"mesh":[5,14,72,107,158],"shape":[6,118,203,254],"deformation":[7,168,271],"technique":[8,162,276],"for":[9,170,198],"skeleton-driven":[10],"soft-body":[11],"characters.":[12],"Producing":[13],"deformations":[15,119,204],"at":[16,41,49,151,156,263],"multiple":[17,157],"levels":[18],"of":[19,88,109,180,201,218,226,232,269],"detail":[20],"is":[21,73],"very":[22],"important":[23],"in":[24,27,59,85,120],"many":[25],"applications":[26,33],"computer":[28,60],"graphics.":[29],"Our":[30,102,161],"work":[31],"targets":[32],"where":[34],"the":[35,70,116,136,177,215,219,253,261,270],"shapes":[37,82],"must":[38],"be":[39],"generated":[40],"fast":[42],"speeds":[43],"(\"hard-real-time\",":[44],"e.g.,":[45],"few":[47],"milliseconds":[48],"most":[50],"and":[51,64,78,111,143,155,172,189,259,287],"preferably":[52],"under":[53],"1":[54],"millisecond),":[55],"as":[56,98,139,141,241,243],"commonly":[57],"needed":[58],"games,":[61],"virtual":[62],"reality":[63],"Metaverse":[65],"applications.":[66],"assume":[68],"that":[69,79],"character":[71,81,123],"driven":[74],"by":[75,257],"skeleton,":[77],"high-quality":[80,94],"are":[83],"available":[84],"set":[87],"training":[89,137],"poses":[90],"originating":[91],"from":[92],"(slow)":[95],"rig":[96],"such":[97],"volumetric":[99],"FEM":[100],"simulation.":[101],"method":[103,235],"combines":[104],"analysis,":[106],"partition":[108],"unity,":[110],"neural":[112],"networks,":[113],"to":[114,134,166,175,192,222,251],"learn":[115],"pre-skinning":[117],"an":[121,288],"arbitrary":[122],"pose.":[124],"Combined":[125],"with":[126],"linear":[127],"blend":[128],"skinning,":[129],"this":[130,150],"makes":[131,163,248],"it":[132,164,249],"possible":[133,165,250],"reconstruct":[135],"shapes,":[138],"well":[140,242],"interpolate":[142],"extrapolate":[144],"them.":[145],"Crucially,":[146],"we":[147,185],"simultaneously":[148],"achieve":[149],"hard":[152,209],"real-time":[153,182],"rates":[154],"resolution":[159],"levels.":[160],"trade":[167],"quality":[169,202],"memory":[171,187,239],"computation":[173,194,262],"speed,":[174],"accommodate":[176],"strict":[178],"requirements":[179],"modern":[181],"systems.":[183],"Furthermore,":[184],"propose":[186],"layout":[188],"code":[190],"improvements":[191],"boost":[193],"speeds.":[195],"Previous":[196],"methods":[197],"realtime":[199],"approximations":[200],"did":[205,212],"not":[206,213],"focus":[207],"on":[208,277],"real-time,":[210],"or":[211],"investigate":[214],"aspect":[217],"problem.":[220],"Compared":[221],"\"naive\"":[224],"approach":[225],"separately":[227],"processing":[228],"each":[229],"hierarchical":[230],"level":[231,256,258],"detail,":[233],"our":[234,275],"offers":[236],"substantial":[238],"reduction":[240],"computational":[244],"speedups.":[245],"It":[246],"also":[247],"construct":[252],"progressively":[255],"interrupt":[260],"any":[264],"time,":[265],"enabling":[266],"graceful":[267],"degradation":[268],"detail.":[272],"demonstrate":[274],"several":[278],"examples,":[279],"including":[280],"stylized":[282],"human":[283,285],"character,":[284],"hands,":[286],"inverse-kinematics-driven":[289],"quadruped":[290],"animal.":[291]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}
