{"id":"https://openalex.org/W2902370338","doi":"https://doi.org/10.1145/3283289.3283323","title":"Generating effect animation with conditional GANs","display_name":"Generating effect animation with conditional GANs","publication_year":2018,"publication_date":"2018-11-30","ids":{"openalex":"https://openalex.org/W2902370338","doi":"https://doi.org/10.1145/3283289.3283323","mag":"2902370338"},"language":"en","primary_location":{"id":"doi:10.1145/3283289.3283323","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3283289.3283323","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGGRAPH Asia 2018 Posters","raw_type":"proceedings-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/A5053973990","display_name":"Naofumi Akimoto","orcid":"https://orcid.org/0000-0002-3571-616X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Naofumi Akimoto","raw_affiliation_strings":["AIST"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AIST","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011507481","display_name":"Hirokatsu Kataoka","orcid":"https://orcid.org/0000-0001-8844-165X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hirokatsu Kataoka","raw_affiliation_strings":["AIST"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AIST","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070908826","display_name":"Yoshimitsu Aoki","orcid":"https://orcid.org/0000-0001-7361-0027"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshimitsu Aoki","raw_affiliation_strings":["Keio University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Keio University","institution_ids":["https://openalex.org/I203951103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14047598,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9991999864578247,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9991999864578247,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T11309","display_name":"Music and Audio Processing","score":0.9747999906539917,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/animation","display_name":"Animation","score":0.9039896726608276},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8471981287002563},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6670870780944824},{"id":"https://openalex.org/keywords/amateur","display_name":"Amateur","score":0.6411288380622864},{"id":"https://openalex.org/keywords/computer-animation","display_name":"Computer animation","score":0.5272749066352844},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4437211751937866},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43842190504074097},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.43272531032562256},{"id":"https://openalex.org/keywords/computer-facial-animation","display_name":"Computer facial animation","score":0.4216192960739136}],"concepts":[{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.9039896726608276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8471981287002563},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6670870780944824},{"id":"https://openalex.org/C2778044066","wikidata":"https://www.wikidata.org/wiki/Q455595","display_name":"Amateur","level":2,"score":0.6411288380622864},{"id":"https://openalex.org/C69369342","wikidata":"https://www.wikidata.org/wiki/Q1401416","display_name":"Computer animation","level":3,"score":0.5272749066352844},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4437211751937866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43842190504074097},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.43272531032562256},{"id":"https://openalex.org/C138591656","wikidata":"https://www.wikidata.org/wiki/Q5157538","display_name":"Computer facial animation","level":4,"score":0.4216192960739136},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3283289.3283323","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3283289.3283323","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGGRAPH Asia 2018 Posters","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2099471712","https://openalex.org/W2963800363"],"related_works":["https://openalex.org/W1544039745","https://openalex.org/W2121378366","https://openalex.org/W2999276620","https://openalex.org/W2532377291","https://openalex.org/W1976926596","https://openalex.org/W2989004599","https://openalex.org/W3094080214","https://openalex.org/W2535923857","https://openalex.org/W2156310872","https://openalex.org/W2356609371"],"abstract_inverted_index":{"Effect":[0],"animations":[1],"are":[2,15,146],"used":[3],"in":[4,20,126],"many":[5,16],"application,":[6],"such":[7],"as":[8],"music":[9],"videos":[10],"or":[11],"games.":[12],"So,":[13],"there":[14],"templates":[17],"of":[18],"effects":[19],"softwares.":[21],"However,":[22],"it":[23,90],"is":[24,57,91,101],"difficult":[25,92],"for":[26,44,77,93],"an":[27,31,46],"amateur":[28],"to":[29,97,128],"make":[30,70,86,129],"original":[32],"animation.":[33,48],"In":[34,132],"this":[35],"paper,":[36],"we":[37,134,140],"propose":[38],"a":[39,52,71,106,110],"deep":[40],"learning":[41],"based":[42],"approach":[43,50],"generating":[45],"effect":[47,79],"This":[49],"uses":[51],"next-frame":[53],"prediction":[54],"model":[55,100,116],"which":[56],"conditional":[58],"Generative":[59],"Adversarial":[60],"Networks":[61],"(cGAN)":[62],"[Goodfellow":[63],"et":[64],"al.":[65],"2014]":[66],"and":[67,109,113,138],"let":[68],"users":[69,84],"new":[72],"animation":[73,88,130],"easily":[74],"by":[75,103],"preparing":[76],"referenced":[78],"videos.":[80],"On":[81],"the":[82,87,114,120],"contrary,":[83],"can":[85,117,141],"that":[89,139],"even":[94],"professional":[95],"designers":[96],"make.":[98],"The":[99],"trained":[102,115],"loss":[104],"between":[105],"ground-truth":[107],"frame":[108,122],"predicted":[111],"frame,":[112],"repeatedly":[118],"predict":[119],"next":[121],"with":[123],"generated":[124],"frames":[125,145],"order":[127],"video.":[131],"experiments,":[133],"show":[135],"several":[136],"results":[137],"partly":[142],"control":[143],"what":[144],"generated.":[147]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
