{"id":"https://openalex.org/W4289222514","doi":"https://doi.org/10.1145/3543664","title":"The Digital Production Symposium","display_name":"The Digital Production Symposium","publication_year":2022,"publication_date":"2022-08-01","ids":{"openalex":"https://openalex.org/W4289222514","doi":"https://doi.org/10.1145/3543664"},"language":"en","primary_location":{"id":"doi:10.1145/3543664","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3543664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"proceedings"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2309.14897","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085018165","display_name":"Wan-Duo Kurt","orcid":"https://orcid.org/0000-0002-9499-2623"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Wan-Duo Kurt","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048781628","display_name":"Muhammad Ghifary","orcid":"https://orcid.org/0000-0002-4621-1941"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ghifary, Muhammad","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057936203","display_name":"John Lewis","orcid":"https://orcid.org/0000-0002-6835-7263"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lewis, J. P.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064032831","display_name":"Byungkuk Choi","orcid":"https://orcid.org/0000-0001-9892-9341"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Choi, Byungkuk","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5020635335","display_name":"Haekwang Eom","orcid":"https://orcid.org/0000-0002-0158-3784"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eom, Haekwang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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":0.9959999918937683,"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":0.9959999918937683,"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/T12290","display_name":"Human Motion and Animation","score":0.9926000237464905,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9742000102996826,"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":0.9076544642448425},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8557741641998291},{"id":"https://openalex.org/keywords/animation","display_name":"Animation","score":0.6319530010223389},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6165316104888916},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.6123318672180176},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.5570611357688904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46145543456077576},{"id":"https://openalex.org/keywords/emulation","display_name":"Emulation","score":0.44825881719589233},{"id":"https://openalex.org/keywords/computer-animation","display_name":"Computer animation","score":0.4453566372394562},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.43335774540901184},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.43136873841285706},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3671395480632782},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3569898009300232},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.33962076902389526}],"concepts":[{"id":"https://openalex.org/C2780575108","wikidata":"https://www.wikidata.org/wiki/Q7316652","display_name":"Retargeting","level":2,"score":0.9076544642448425},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8557741641998291},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.6319530010223389},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6165316104888916},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.6123318672180176},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.5570611357688904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46145543456077576},{"id":"https://openalex.org/C149810388","wikidata":"https://www.wikidata.org/wiki/Q5374873","display_name":"Emulation","level":2,"score":0.44825881719589233},{"id":"https://openalex.org/C69369342","wikidata":"https://www.wikidata.org/wiki/Q1401416","display_name":"Computer animation","level":3,"score":0.4453566372394562},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.43335774540901184},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.43136873841285706},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3671395480632782},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3569898009300232},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33962076902389526},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3543664","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3543664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"proceedings"},{"id":"pmh:oai:arXiv.org:2309.14897","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2309.14897","pdf_url":"https://arxiv.org/pdf/2309.14897","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2309.14897","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2309.14897","pdf_url":"https://arxiv.org/pdf/2309.14897","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4289222514.pdf","grobid_xml":"https://content.openalex.org/works/W4289222514.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W788203010","https://openalex.org/W1522301498","https://openalex.org/W1588539311","https://openalex.org/W1961571273","https://openalex.org/W1975848997","https://openalex.org/W1979292301","https://openalex.org/W1989116902","https://openalex.org/W2008096396","https://openalex.org/W2028815822","https://openalex.org/W2040988871","https://openalex.org/W2051434435","https://openalex.org/W2120534609","https://openalex.org/W2121090254","https://openalex.org/W2147025387","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2291172845","https://openalex.org/W2461748234","https://openalex.org/W2555027164","https://openalex.org/W2558708291","https://openalex.org/W2558797751","https://openalex.org/W2623464795","https://openalex.org/W2806379360","https://openalex.org/W2886201697","https://openalex.org/W2889448576","https://openalex.org/W2962785568","https://openalex.org/W2963121255","https://openalex.org/W2964021538","https://openalex.org/W2984858253","https://openalex.org/W3034192160","https://openalex.org/W3106262284","https://openalex.org/W3109585842","https://openalex.org/W3109704100","https://openalex.org/W4200151550","https://openalex.org/W4230236405","https://openalex.org/W4230409178","https://openalex.org/W4230792261","https://openalex.org/W4235701600","https://openalex.org/W4236565392","https://openalex.org/W4236925851","https://openalex.org/W4238459551","https://openalex.org/W4286779547","https://openalex.org/W4385490328"],"related_works":["https://openalex.org/W3186555439","https://openalex.org/W2018882065","https://openalex.org/W4252049335","https://openalex.org/W2121378366","https://openalex.org/W3112102641","https://openalex.org/W2013184069","https://openalex.org/W3169129874","https://openalex.org/W4210514273","https://openalex.org/W2386167289","https://openalex.org/W2379697716"],"abstract_inverted_index":{"Visual":[0],"effects":[1],"commonly":[2],"requires":[3,32,43],"both":[4],"the":[5,26,44,53,57,70,120,129,140,143,147,159,172,187,192,207,210,222,248],"creation":[6],"of":[7,38,52,59,186,209],"realistic":[8,74],"synthetic":[9],"humans":[10],"as":[11,13,21,196,198],"well":[12],"retargeting":[14],"actors'":[15],"performances":[16,28],"to":[17,46,97,111,153,190,205,250],"humanoid":[18],"characters":[19],"such":[20],"aliens":[22],"and":[23,82,104,114,163,214,229,236,253,257,269],"monsters.":[24],"Achieving":[25],"expressive":[27],"demanded":[29],"in":[30,119,221,242,255,273],"entertainment":[31],"manipulating":[33],"complex":[34],"models":[35,79],"with":[36,66,76,167,233],"hundreds":[37],"parameters.":[39,68],"Full":[40],"creative":[41],"control":[42],"freedom":[45],"make":[47],"edits":[48],"at":[49,116],"any":[50],"stage":[51],"production,":[54],"which":[55,92],"prohibits":[56],"use":[58],"a":[60,102,108,180],"fully":[61],"automatic":[62],"``black":[63],"box''":[64],"solution":[65,96,189,213],"uninterpretable":[67],"On":[69],"other":[71],"hand,":[72],"producing":[73],"animation":[75,150],"these":[77,98],"sophisticated":[78],"is":[80,93],"difficult":[81,258],"laborious.":[83],"This":[84],"paper":[85],"describes":[86],"FDLS":[87,100,188,200,226],"(Facial":[88],"Deep":[89],"Learning":[90],"Solver),":[91],"Weta":[94],"Digital's":[95],"challenges.":[99],"adopts":[101],"coarse-to-fine":[103],"human-in-the-loop":[105],"strategy,":[106],"allowing":[107,247],"solved":[109],"performance":[110,231],"be":[112,251],"verified":[113],"edited":[115,254],"several":[117,267],"stages":[118],"solving":[121,232],"process.":[122],"To":[123],"train":[124],"FDLS,":[125],"we":[126,156],"first":[127,162],"transform":[128],"raw":[130],"motion-captured":[131,193],"data":[132],"into":[133],"robust":[134],"graph":[135],"features.":[136],"Secondly,":[137],"based":[138],"on":[139,171,184],"observation":[141],"that":[142],"artists":[144,176],"typically":[145],"finalize":[146],"jaw":[148,160,173],"pass":[149],"before":[151],"proceeding":[152],"finer":[154],"detail,":[155],"solve":[157,249],"for":[158,266],"motion":[161],"predict":[164],"fine":[165],"expressions":[166],"region-based":[168],"networks":[169],"conditioned":[170],"position.":[174],"Finally,":[175],"can":[177,216],"optionally":[178],"invoke":[179],"non-linear":[181],"finetuning":[182],"process":[183],"top":[185],"follow":[191],"virtual":[194],"markers":[195],"closely":[197],"possible.":[199],"supports":[201],"editing":[202],"if":[203],"needed":[204],"improve":[206],"results":[208],"deep":[211],"learning":[212],"it":[215],"handle":[217],"small":[218],"daily":[219],"changes":[220],"actor's":[223],"face":[224],"shape.":[225],"permits":[227],"reliable":[228],"production-quality":[230],"minimal":[234],"training":[235],"little":[237],"or":[238],"no":[239],"manual":[240],"effort":[241],"many":[243],"cases,":[244],"while":[245],"also":[246],"guided":[252],"unusual":[256],"cases.":[259],"The":[260],"system":[261],"has":[262,270],"been":[263,271],"under":[264],"development":[265],"years":[268],"used":[272],"major":[274],"movies.":[275]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2022-08-01T00:00:00"}
