{"id":"https://openalex.org/W4385536531","doi":"https://doi.org/10.1145/3588432.3591556","title":"Neural Face Rigging for Animating and Retargeting Facial Meshes in the Wild","display_name":"Neural Face Rigging for Animating and Retargeting Facial Meshes in the Wild","publication_year":2023,"publication_date":"2023-07-19","ids":{"openalex":"https://openalex.org/W4385536531","doi":"https://doi.org/10.1145/3588432.3591556"},"language":"en","primary_location":{"id":"doi:10.1145/3588432.3591556","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3588432.3591556","pdf_url":null,"source":null,"license":null,"license_id":null,"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"},"type":"conference-paper","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/A5037765030","display_name":"Dafei Qin","orcid":"https://orcid.org/0009-0001-4992-4760"},"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":"Dafei Qin","raw_affiliation_strings":["University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0009-0001-4992-4760","affiliations":[{"raw_affiliation_string":"University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063490500","display_name":"Jun Saito","orcid":"https://orcid.org/0000-0002-3128-9009"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Saito","raw_affiliation_strings":["Adobe Research, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-3128-9009","affiliations":[{"raw_affiliation_string":"Adobe Research, United States of America","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012021206","display_name":"Noam Aigerman","orcid":"https://orcid.org/0000-0002-9116-4662"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Noam Aigerman","raw_affiliation_strings":["Adobe Research, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-9116-4662","affiliations":[{"raw_affiliation_string":"Adobe Research, United States of America","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030505287","display_name":"Thibault Groueix","orcid":"https://orcid.org/0000-0002-7984-8252"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thibault Groueix","raw_affiliation_strings":["Adobe Research, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-7984-8252","affiliations":[{"raw_affiliation_string":"Adobe Research, United States of America","institution_ids":["https://openalex.org/I1306409833"]}]},{"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":["University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-2729-5860","affiliations":[{"raw_affiliation_string":"University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998999834060669,"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":0.9998999834060669,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9995999932289124,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.993399977684021,"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":0.9777381420135498},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.860962986946106},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8402164578437805},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6471364498138428},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6411819458007812},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6303165555000305},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.559918999671936},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5146592259407043},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.4902096390724182},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4180176854133606},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.33432134985923767},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33305418491363525}],"concepts":[{"id":"https://openalex.org/C2780575108","wikidata":"https://www.wikidata.org/wiki/Q7316652","display_name":"Retargeting","level":2,"score":0.9777381420135498},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.860962986946106},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8402164578437805},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6471364498138428},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6411819458007812},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6303165555000305},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.559918999671936},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5146592259407043},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.4902096390724182},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4180176854133606},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.33432134985923767},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33305418491363525},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3588432.3591556","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3588432.3591556","pdf_url":null,"source":null,"license":null,"license_id":null,"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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G845706179","display_name":"AR Friend: Controlling High Fidelity Character Models in an AR Environment","funder_award_id":"ITS/319/21FP","funder_id":"https://openalex.org/F4320321920","funder_display_name":"Innovation and Technology Commission"}],"funders":[{"id":"https://openalex.org/F4320321920","display_name":"Innovation and Technology Commission","ror":"https://ror.org/04vf9tr09"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1807911131","https://openalex.org/W2017107803","https://openalex.org/W2107037917","https://openalex.org/W2116883077","https://openalex.org/W2124917223","https://openalex.org/W2153621263","https://openalex.org/W2237250383","https://openalex.org/W2277958045","https://openalex.org/W2558460151","https://openalex.org/W2769666294","https://openalex.org/W2883221003","https://openalex.org/W2902035653","https://openalex.org/W2995034616","https://openalex.org/W3000674585","https://openalex.org/W3015873132","https://openalex.org/W3034138569","https://openalex.org/W3034157075","https://openalex.org/W3034192160","https://openalex.org/W3048366741","https://openalex.org/W3093482802","https://openalex.org/W3093643058","https://openalex.org/W3122103857","https://openalex.org/W3159926201","https://openalex.org/W4200151550","https://openalex.org/W4234552385","https://openalex.org/W4236565392","https://openalex.org/W4286611166","https://openalex.org/W4286611313","https://openalex.org/W4288043288","https://openalex.org/W4310379806","https://openalex.org/W6756855002"],"related_works":["https://openalex.org/W2461433938","https://openalex.org/W4389483750","https://openalex.org/W2770958975","https://openalex.org/W4388007604","https://openalex.org/W1033720759","https://openalex.org/W2159052453","https://openalex.org/W2924774772","https://openalex.org/W3013693939","https://openalex.org/W2043281736","https://openalex.org/W3119446187"],"abstract_inverted_index":{"We":[0,100],"propose":[1],"an":[2],"end-to-end":[3],"deep-learning":[4],"approach":[5,81],"for":[6,39],"automatic":[7],"rigging":[8],"and":[9,54,60,85,105,133,153,164],"retargeting":[10],"of":[11,14,64,74,88,96,119,136,161],"3D":[12],"models":[13],"human":[15],"faces":[16,138],"in":[17,131],"the":[18,72,79,93,116],"wild.":[19],"Our":[20],"approach,":[21],"called":[22],"Neural":[23],"Face":[24],"Rigging":[25],"(NFR),":[26],"holds":[27],"three":[28],"key":[29],"properties:":[30],"(i)":[31],"NFR\u2019s":[32,147],"expression":[33],"space":[34],"maintains":[35],"human-interpretable":[36],"editing":[37],"parameters":[38,129],"artistic":[40],"controls;":[41],"(ii)":[42],"NFR":[43,57,77],"is":[44,78],"readily":[45],"applicable":[46],"to":[47,82,149],"arbitrary":[48,69],"facial":[49,90,155,166],"meshes":[50],"with":[51,126,139],"different":[52],"connectivity":[53],"expressions;":[55],"(iii)":[56],"can":[58],"encode":[59],"produce":[61,151],"fine-grained":[62,140],"details":[63],"complex":[65],"expressions":[66],"performed":[67],"by":[68],"subjects.":[70],"To":[71],"best":[73],"our":[75],"knowledge,":[76],"first":[80],"provide":[83],"realistic":[84,152],"controllable":[86],"deformations":[87,156],"in-the-wild":[89],"meshes,":[91],"without":[92],"manual":[94],"creation":[95],"blendshapes":[97],"or":[98],"correspondence.":[99],"design":[101],"a":[102,109,123,158],"deformation":[103],"autoencoder":[104],"train":[106],"it":[107],"through":[108],"multi-dataset":[110],"training":[111],"scheme,":[112],"which":[113],"benefits":[114],"from":[115],"unique":[117],"advantages":[118],"two":[120],"data":[121],"sources:":[122],"linear":[124],"3DMM":[125],"interpretable":[127],"control":[128],"as":[130],"FACS":[132],"4D":[134],"captures":[135],"real":[137],"details.":[141],"Through":[142],"various":[143],"experiments,":[144],"we":[145],"show":[146],"ability":[148],"automatically":[150],"accurate":[154],"across":[157],"wide":[159],"range":[160],"existing":[162],"datasets":[163],"noisy":[165],"scans":[167],"in-the-wild,":[168],"while":[169],"providing":[170],"artist-controlled,":[171],"editable":[172],"parameters.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":12}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
