{"id":"https://openalex.org/W7154475899","doi":"https://doi.org/10.1111/cgf.70417","title":"Improving Facial Rig Semantics for Tracking and Retargeting","display_name":"Improving Facial Rig Semantics for Tracking and Retargeting","publication_year":2026,"publication_date":"2026-04-15","ids":{"openalex":"https://openalex.org/W7154475899","doi":"https://doi.org/10.1111/cgf.70417"},"language":"en","primary_location":{"id":"doi:10.1111/cgf.70417","is_oa":false,"landing_page_url":"https://doi.org/10.1111/cgf.70417","pdf_url":null,"source":{"id":"https://openalex.org/S67831204","display_name":"Computer Graphics Forum","issn_l":"0167-7055","issn":["0167-7055","1467-8659"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Graphics Forum","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/A5133658693","display_name":"D. Omens","orcid":"https://orcid.org/0009-0009-3986-6374"},"institutions":[{"id":"https://openalex.org/I4210155212","display_name":"Electronic Product Services (Czechia)","ror":"https://ror.org/055nq3844","country_code":"CZ","type":"company","lineage":["https://openalex.org/I4210155212"]},{"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":["CZ","US"],"is_corresponding":false,"raw_author_name":"D. Omens","raw_affiliation_strings":["Epic Games  USA","Stanford University  USA"],"raw_orcid":"https://orcid.org/0009-0009-3986-6374","affiliations":[{"raw_affiliation_string":"Epic Games  USA","institution_ids":["https://openalex.org/I4210155212"]},{"raw_affiliation_string":"Stanford University  USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133629765","display_name":"A. Thurman","orcid":null},"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":"A. Thurman","raw_affiliation_strings":["Stanford University  USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University  USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133652071","display_name":"J. Yu","orcid":"https://orcid.org/0009-0003-4958-502X"},"institutions":[{"id":"https://openalex.org/I4210155212","display_name":"Electronic Product Services (Czechia)","ror":"https://ror.org/055nq3844","country_code":"CZ","type":"company","lineage":["https://openalex.org/I4210155212"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"J. Yu","raw_affiliation_strings":["Epic Games  USA"],"raw_orcid":"https://orcid.org/0009-0003-4958-502X","affiliations":[{"raw_affiliation_string":"Epic Games  USA","institution_ids":["https://openalex.org/I4210155212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076561653","display_name":"Ronald Fedkiw","orcid":"https://orcid.org/0009-0008-6853-2499"},"institutions":[{"id":"https://openalex.org/I4210155212","display_name":"Electronic Product Services (Czechia)","ror":"https://ror.org/055nq3844","country_code":"CZ","type":"company","lineage":["https://openalex.org/I4210155212"]},{"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":["CZ","US"],"is_corresponding":false,"raw_author_name":"R. Fedkiw","raw_affiliation_strings":["Epic Games  USA","Stanford University  USA"],"raw_orcid":"https://orcid.org/0009-0008-6853-2499","affiliations":[{"raw_affiliation_string":"Epic Games  USA","institution_ids":["https://openalex.org/I4210155212"]},{"raw_affiliation_string":"Stanford University  USA","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":3710,"currency":"USD","value_usd":3710},"apc_paid":null,"fwci":9.8969,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.97768921,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.8496000170707703,"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/T11448","display_name":"Face recognition and analysis","score":0.8496000170707703,"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/T10709","display_name":"Social Robot Interaction and HRI","score":0.03819999843835831,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.03500000014901161,"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/retargeting","display_name":"Retargeting","score":0.9934999942779541},{"id":"https://openalex.org/keywords/animation","display_name":"Animation","score":0.7741000056266785},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6466000080108643},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5396000146865845},{"id":"https://openalex.org/keywords/character-animation","display_name":"Character animation","score":0.49810001254081726},{"id":"https://openalex.org/keywords/computer-facial-animation","display_name":"Computer facial animation","score":0.49309998750686646},{"id":"https://openalex.org/keywords/facial-motion-capture","display_name":"Facial motion capture","score":0.4700999855995178},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.46070000529289246},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.44449999928474426}],"concepts":[{"id":"https://openalex.org/C2780575108","wikidata":"https://www.wikidata.org/wiki/Q7316652","display_name":"Retargeting","level":2,"score":0.9934999942779541},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8095999956130981},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.7741000056266785},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6466000080108643},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6395000219345093},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5562999844551086},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5396000146865845},{"id":"https://openalex.org/C90697248","wikidata":"https://www.wikidata.org/wiki/Q1062896","display_name":"Character animation","level":4,"score":0.49810001254081726},{"id":"https://openalex.org/C138591656","wikidata":"https://www.wikidata.org/wiki/Q5157538","display_name":"Computer facial animation","level":4,"score":0.49309998750686646},{"id":"https://openalex.org/C98907195","wikidata":"https://www.wikidata.org/wiki/Q5428562","display_name":"Facial motion capture","level":5,"score":0.4700999855995178},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.46070000529289246},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.44449999928474426},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.44440001249313354},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.43700000643730164},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.41290000081062317},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.3935000002384186},{"id":"https://openalex.org/C69369342","wikidata":"https://www.wikidata.org/wiki/Q1401416","display_name":"Computer animation","level":3,"score":0.3734000027179718},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.3433000147342682},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.3384000062942505},{"id":"https://openalex.org/C23746413","wikidata":"https://www.wikidata.org/wiki/Q1141379","display_name":"Seam carving","level":3,"score":0.3172000050544739},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3111000061035156},{"id":"https://openalex.org/C44710944","wikidata":"https://www.wikidata.org/wiki/Q1813564","display_name":"Skeletal animation","level":5,"score":0.2930999994277954},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2793000042438507},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C150303390","wikidata":"https://www.wikidata.org/wiki/Q1983852","display_name":"Virtual actor","level":3,"score":0.2671000063419342},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.2581000030040741}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1111/cgf.70417","is_oa":false,"landing_page_url":"https://doi.org/10.1111/cgf.70417","pdf_url":null,"source":{"id":"https://openalex.org/S67831204","display_name":"Computer Graphics Forum","issn_l":"0167-7055","issn":["0167-7055","1467-8659"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Graphics Forum","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1971980693","https://openalex.org/W1979292301","https://openalex.org/W1988457341","https://openalex.org/W2093095635","https://openalex.org/W2102001893","https://openalex.org/W2106715340","https://openalex.org/W2122007052","https://openalex.org/W2124917223","https://openalex.org/W2237250383","https://openalex.org/W2256578114","https://openalex.org/W2260054606","https://openalex.org/W2769666294","https://openalex.org/W2801211065","https://openalex.org/W2811426698","https://openalex.org/W2979282880","https://openalex.org/W3047277396","https://openalex.org/W3048366741","https://openalex.org/W3186344031","https://openalex.org/W3204986843","https://openalex.org/W4200151550","https://openalex.org/W4239189285","https://openalex.org/W4286616179","https://openalex.org/W4385536531","https://openalex.org/W4387994527","https://openalex.org/W4389539479","https://openalex.org/W4400573520","https://openalex.org/W4401425724","https://openalex.org/W4402703063","https://openalex.org/W4402716186","https://openalex.org/W4402754135","https://openalex.org/W4403663512","https://openalex.org/W4403755053","https://openalex.org/W4403772153","https://openalex.org/W4403820694","https://openalex.org/W4404527398","https://openalex.org/W4404893075","https://openalex.org/W4404966148","https://openalex.org/W4408222799","https://openalex.org/W4409335978"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"In":[1],"this":[2],"paper,":[3],"we":[4,82,139],"consider":[5],"retargeting":[6,34,86,202],"a":[7,68,128,141,185],"tracked":[8],"facial":[9],"performance":[10,201],"to":[11,28,40,53,57,108,123,152],"other":[12],"people":[13],"or":[14,65],"virtual":[15,100],"characters.":[16],"We":[17],"utilize":[18],"the":[19,30,35,58,62,94,99,110,146,150,154,171,179,192],"same":[20],"rig":[21,56,147,209],"framework":[22,39],"for":[23,78,203],"both":[24],"tracking":[25,127],"and":[26,49,208],"animation":[27,115,160],"remove":[29],"difficulties":[31],"associated":[32],"with":[33],"semantics":[36],"of":[37,46,61,71,98,156,194],"one":[38],"another.":[41],"Our":[42],"carefully":[43],"designed":[44],"set":[45,70,91],"Simon\u2010Says":[47,72,104],"expressions":[48,73,112],"regularizers":[50],"is":[51],"used":[52,77,148],"calibrate":[54],"each":[55],"motion":[59,96],"signatures":[60],"relevant":[63],"performer":[64],"target.":[66],"Although":[67],"uniform":[69],"can":[74,181],"likely":[75],"be":[76,182],"all":[79],"person\u2010to\u2010person":[80],"retargeting,":[81],"argue":[83],"that":[84,92,144,178],"person\u2010to\u2010virtual\u2010character":[85],"benefits":[87,193],"from":[88],"an":[89],"expression":[90],"captures":[93],"distinct":[95],"signature":[97],"character":[101],"rig.":[102],"The":[103],"calibrated":[105],"rigs":[106,120],"tend":[107],"produce":[109,134],"desired":[111],"when":[113,126],"exercising":[114],"controls.":[116],"Unfortunately,":[117],"these":[118],"well\u2010calibrated":[119],"still":[121],"lead":[122],"undesirable":[124],"controls":[125],"performance,":[129],"even":[130],"though":[131],"they":[132],"generally":[133],"acceptable":[135],"geometry":[136],"reconstructions.":[137],"Thus,":[138],"propose":[140],"fine\u2010tuning":[142,172],"approach":[143],"modifies":[145],"by":[149],"tracker":[151,180],"promote":[153],"output":[155],"more":[157],"semantically":[158],"meaningful":[159],"controls,":[161],"facilitating":[162],"high":[163],"efficacy":[164],"retargeting.":[165],"To":[166],"better":[167],"address":[168],"real\u2010world":[169],"scenarios,":[170],"relies":[173],"on":[174,198],"implicit":[175],"differentiation":[176],"so":[177],"treated":[183],"as":[184],"potentially":[186],"non\u2010differentiable":[187],"black":[188],"box.":[189],"Experiments":[190],"demonstrate":[191],"our":[195],"calibration":[196],"methods":[197],"high\u2010fidelity":[199],"expressive":[200],"different":[204],"capture":[205],"conditions,":[206],"trackers,":[207],"frameworks.":[210]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-04-16T00:00:00"}