{"id":"https://openalex.org/W3048609641","doi":"https://doi.org/10.1145/3386569.3392427","title":"Example-driven virtual cinematography by learning camera behaviors","display_name":"Example-driven virtual cinematography by learning camera behaviors","publication_year":2020,"publication_date":"2020-08-12","ids":{"openalex":"https://openalex.org/W3048609641","doi":"https://doi.org/10.1145/3386569.3392427","mag":"3048609641"},"language":"en","primary_location":{"id":"doi:10.1145/3386569.3392427","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3386569.3392427","pdf_url":null,"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":null,"license_id":null,"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":"green","oa_url":"https://inria.hal.science/hal-03141673","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039024976","display_name":"Hongda Jiang","orcid":"https://orcid.org/0000-0002-0296-4431"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongda Jiang","raw_affiliation_strings":["Peking University &amp; AICFVE"],"affiliations":[{"raw_affiliation_string":"Peking University &amp; AICFVE","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101525095","display_name":"Bin Wang","orcid":"https://orcid.org/0000-0002-6852-0761"},"institutions":[{"id":"https://openalex.org/I2802536167","display_name":"Beijing Film Academy","ror":"https://ror.org/03y0w9190","country_code":"CN","type":"education","lineage":["https://openalex.org/I2802536167"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Wang","raw_affiliation_strings":["Beijing Film Academy"],"affiliations":[{"raw_affiliation_string":"Beijing Film Academy","institution_ids":["https://openalex.org/I2802536167"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100442292","display_name":"Xi Wang","orcid":"https://orcid.org/0000-0003-3910-9575"},"institutions":[{"id":"https://openalex.org/I3124938446","display_name":"Universit\u00e9 Rennes 2","ror":"https://ror.org/01m84wm78","country_code":"FR","type":"education","lineage":["https://openalex.org/I3124938446"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Xi Wang","raw_affiliation_strings":["University Rennes","Analysis-Synthesis Approach for Virtual Human Simulation"],"affiliations":[{"raw_affiliation_string":"University Rennes","institution_ids":["https://openalex.org/I3124938446"]},{"raw_affiliation_string":"Analysis-Synthesis Approach for Virtual Human Simulation","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110698966","display_name":"Marc Christie","orcid":null},"institutions":[{"id":"https://openalex.org/I3124938446","display_name":"Universit\u00e9 Rennes 2","ror":"https://ror.org/01m84wm78","country_code":"FR","type":"education","lineage":["https://openalex.org/I3124938446"]},{"id":"https://openalex.org/I2802536167","display_name":"Beijing Film Academy","ror":"https://ror.org/03y0w9190","country_code":"CN","type":"education","lineage":["https://openalex.org/I2802536167"]}],"countries":["CN","FR"],"is_corresponding":false,"raw_author_name":"Marc Christie","raw_affiliation_strings":["University Rennes","Beijing Film Academy","Analysis-Synthesis Approach for Virtual Human Simulation"],"affiliations":[{"raw_affiliation_string":"University Rennes","institution_ids":["https://openalex.org/I3124938446"]},{"raw_affiliation_string":"Beijing Film Academy","institution_ids":["https://openalex.org/I2802536167"]},{"raw_affiliation_string":"Analysis-Synthesis Approach for Virtual Human Simulation","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010714340","display_name":"Baoquan Chen","orcid":"https://orcid.org/0000-0003-4702-036X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoquan Chen","raw_affiliation_strings":["Peking University &amp; AICFVE"],"affiliations":[{"raw_affiliation_string":"Peking University &amp; AICFVE","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5039024976"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":3.8678,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.93795197,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"39","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9991999864578247,"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":0.9991999864578247,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9988999962806702,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9983000159263611,"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/computer-science","display_name":"Computer science","score":0.7746661901473999},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6431382298469543},{"id":"https://openalex.org/keywords/animation","display_name":"Animation","score":0.631845235824585},{"id":"https://openalex.org/keywords/cinematography","display_name":"Cinematography","score":0.5958418846130371},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5589437484741211},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4662337005138397},{"id":"https://openalex.org/keywords/character-animation","display_name":"Character animation","score":0.4376146197319031},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4325471818447113},{"id":"https://openalex.org/keywords/smart-camera","display_name":"Smart camera","score":0.4311448931694031},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4114265441894531},{"id":"https://openalex.org/keywords/computer-animation","display_name":"Computer animation","score":0.3682330846786499}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7746661901473999},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6431382298469543},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.631845235824585},{"id":"https://openalex.org/C100991257","wikidata":"https://www.wikidata.org/wiki/Q590870","display_name":"Cinematography","level":2,"score":0.5958418846130371},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5589437484741211},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4662337005138397},{"id":"https://openalex.org/C90697248","wikidata":"https://www.wikidata.org/wiki/Q1062896","display_name":"Character animation","level":4,"score":0.4376146197319031},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4325471818447113},{"id":"https://openalex.org/C161334170","wikidata":"https://www.wikidata.org/wiki/Q1428778","display_name":"Smart camera","level":2,"score":0.4311448931694031},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4114265441894531},{"id":"https://openalex.org/C69369342","wikidata":"https://www.wikidata.org/wiki/Q1401416","display_name":"Computer animation","level":3,"score":0.3682330846786499},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3386569.3392427","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3386569.3392427","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-03141673v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-03141673","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"ACM Transactions on Graphics, 2020, 39 (4), &#x27E8;10.1145/3386569.3392427&#x27E9;","raw_type":"Journal articles"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-03141673v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-03141673","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"ACM Transactions on Graphics, 2020, 39 (4), &#x27E8;10.1145/3386569.3392427&#x27E9;","raw_type":"Journal articles"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W649589115","https://openalex.org/W1536680647","https://openalex.org/W1991727975","https://openalex.org/W2050160393","https://openalex.org/W2081380801","https://openalex.org/W2089999949","https://openalex.org/W2115026549","https://openalex.org/W2125710404","https://openalex.org/W2128868647","https://openalex.org/W2216125271","https://openalex.org/W2278324675","https://openalex.org/W2287721884","https://openalex.org/W2294905308","https://openalex.org/W2792747672","https://openalex.org/W2801567109","https://openalex.org/W2963343921","https://openalex.org/W2965742099","https://openalex.org/W2967666060","https://openalex.org/W6621496391"],"related_works":["https://openalex.org/W2964256366","https://openalex.org/W3094080214","https://openalex.org/W4246568043","https://openalex.org/W4244435162","https://openalex.org/W2221113372","https://openalex.org/W2159681853","https://openalex.org/W2354629388","https://openalex.org/W2122474456","https://openalex.org/W51355345","https://openalex.org/W2052682882"],"abstract_inverted_index":{"Designing":[0],"a":[1,11,20,24,30,78,84,97,107,125,146,154,172,176,185,228,242,260,270],"camera":[2,13,60,65,87,157,174,196,245],"motion":[3,158,170],"controller":[4,61],"that":[5,102,194,213],"has":[6],"the":[7,74,94,104,143,161,168,206,216,224,233,238],"capacity":[8,225],"to":[9,77,128,151,182,192,226,240],"move":[10],"virtual":[12,173,285],"automatically":[14,129],"in":[15,23,47,279,284],"relation":[16],"with":[17,124],"contents":[18],"of":[19,86,96,106,145,156,171,187,208,218,230,244,263,273],"3D":[21,79,178],"animation,":[22,80],"cinematographic":[25,36,274],"and":[26,32,72,113,117,120,165,236,276],"principled":[27],"way,":[28],"is":[29,93,122,142],"complex":[31],"challenging":[33],"task.":[34],"Many":[35],"rules":[37],"exist,":[38],"yet":[39],"practice":[40],"shows":[41],"there":[42],"are":[43],"significant":[44],"stylistic":[45],"variations":[46],"how":[48],"these":[49,131],"can":[50,63,198],"be":[51,199],"applied.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56],"propose":[57,181],"an":[58,68,256],"example-driven":[59,257],"which":[62,121,265],"extract":[64,130],"behaviors":[66,76,159,197,231,250],"from":[67,83,134,160,252],"example":[69],"film":[70,136,253,282],"clip":[71],"re-apply":[73],"extracted":[75,162,251],"through":[81,211,232],"learning":[82],"collection":[85],"motions.":[88],"Our":[89,138],"first":[90],"technical":[91,140],"contribution":[92,141],"design":[95,144],"low-dimensional":[98],"cinematic":[99,109,132,163,220],"feature":[100,221],"space":[101],"captures":[103],"essence":[105],"film's":[108],"characteristics":[110,133],"(camera":[111],"angle":[112],"distance,":[114],"screen":[115],"composition":[116],"character":[118,177],"configurations)":[119],"coupled":[123],"neural":[126],"network":[127],"real":[135,281],"clips.":[137,254],"second":[139],"cascaded":[147],"deep-learning":[148],"architecture":[149],"trained":[150],"(i)":[152,215],"recognize":[153],"variety":[155,243],"features,":[164],"(ii)":[166,223],"predict":[167],"future":[169],"given":[175],"animation.":[179],"We":[180,204],"rely":[183],"on":[184],"Mixture":[186],"Experts":[188],"(MoE)":[189],"gating+prediction":[190],"mechanism":[191],"ensure":[193],"distinct":[195],"learned":[200],"while":[201],"ensuring":[202],"generalization.":[203],"demonstrate":[205],"features":[207],"our":[209,219],"approach":[210,258],"experiments":[212],"highlight":[214],"quality":[217],"extractor":[222],"learn":[227],"range":[229],"gating":[234],"mechanism,":[235],"(iii)":[237],"ability":[239],"generate":[241],"motions":[246],"by":[247],"applying":[248],"different":[249],"Such":[255],"offers":[259],"high":[261],"level":[262],"controllability":[264],"opens":[266],"new":[267],"possibilities":[268,278],"toward":[269],"deeper":[271],"understanding":[272],"style":[275],"enhanced":[277],"exploiting":[280],"data":[283],"environments.":[286]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
