{"id":"https://openalex.org/W4406861229","doi":"https://doi.org/10.1109/vcip63160.2024.10849934","title":"SketchAnimator: Animate Sketch via Motion Customization of Text-to-Video Diffusion Models","display_name":"SketchAnimator: Animate Sketch via Motion Customization of Text-to-Video Diffusion Models","publication_year":2024,"publication_date":"2024-12-08","ids":{"openalex":"https://openalex.org/W4406861229","doi":"https://doi.org/10.1109/vcip63160.2024.10849934"},"language":"en","primary_location":{"id":"doi:10.1109/vcip63160.2024.10849934","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip63160.2024.10849934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Visual Communications and Image Processing (VCIP)","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/A5016984773","display_name":"Ruolin Yang","orcid":"https://orcid.org/0000-0001-6241-6317"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruolin Yang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,PRIS, School of Artificial Intelligence,China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,PRIS, School of Artificial Intelligence,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100384536","display_name":"Da Li","orcid":"https://orcid.org/0000-0002-2101-2989"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Da Li","raw_affiliation_strings":["University of Surrey,SketchX, CVSSP,United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Surrey,SketchX, CVSSP,United Kingdom","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100626771","display_name":"Honggang Zhang","orcid":"https://orcid.org/0000-0001-8287-6783"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honggang Zhang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,PRIS, School of Artificial Intelligence,China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,PRIS, School of Artificial Intelligence,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046046128","display_name":"Yi-Zhe Song","orcid":"https://orcid.org/0000-0001-5908-3275"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yi-Zhe Song","raw_affiliation_strings":["University of Surrey,SketchX, CVSSP,United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Surrey,SketchX, CVSSP,United Kingdom","institution_ids":["https://openalex.org/I28290843"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5016984773"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.349,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.64300342,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9965999722480774,"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":0.9965999722480774,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.8071425557136536},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7551580667495728},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.6498757600784302},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6036635041236877},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.5417594909667969},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.48095646500587463},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44463425874710083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3687927722930908},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12889665365219116},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08634862303733826},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08146044611930847}],"concepts":[{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.8071425557136536},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7551580667495728},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.6498757600784302},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6036635041236877},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.5417594909667969},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.48095646500587463},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44463425874710083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3687927722930908},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12889665365219116},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08634862303733826},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08146044611930847},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip63160.2024.10849934","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip63160.2024.10849934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Visual Communications and Image Processing (VCIP)","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":28,"referenced_works":["https://openalex.org/W2099684934","https://openalex.org/W2795533007","https://openalex.org/W2963168844","https://openalex.org/W3109377857","https://openalex.org/W3178284600","https://openalex.org/W4221145616","https://openalex.org/W4286611322","https://openalex.org/W4312473638","https://openalex.org/W4312614039","https://openalex.org/W4313152495","https://openalex.org/W4386072096","https://openalex.org/W4390872497","https://openalex.org/W4402727607","https://openalex.org/W4403003238","https://openalex.org/W4403878131","https://openalex.org/W4404693162","https://openalex.org/W6767264202","https://openalex.org/W6791353385","https://openalex.org/W6795288823","https://openalex.org/W6796581206","https://openalex.org/W6841755765","https://openalex.org/W6843813467","https://openalex.org/W6854424048","https://openalex.org/W6855459923","https://openalex.org/W6858062379","https://openalex.org/W6858744289","https://openalex.org/W6858865347","https://openalex.org/W6858978148"],"related_works":["https://openalex.org/W2378994405","https://openalex.org/W2385974820","https://openalex.org/W2373478030","https://openalex.org/W2378679551","https://openalex.org/W3149739944","https://openalex.org/W2392363776","https://openalex.org/W2063051341","https://openalex.org/W2591066345","https://openalex.org/W1494563618","https://openalex.org/W2357022711"],"abstract_inverted_index":{"Sketching":[0],"is":[1,29],"a":[2,22,30,50,62,75,151],"uniquely":[3],"human":[4],"tool":[5],"for":[6,25,43],"expressing":[7],"ideas":[8],"and":[9,37,74,90,97,107,181],"creativity.":[10],"The":[11],"animation":[12,53,82],"of":[13,133,161,170,193],"sketches":[14,28],"infuses":[15],"life":[16],"into":[17,83,114],"these":[18],"static":[19],"drawings,":[20],"opening":[21],"new":[23],"dimension":[24],"designers.":[26],"Animating":[27],"time-consuming":[31],"process":[32],"that":[33,154,183],"demands":[34],"professional":[35],"skills":[36],"extensive":[38],"experience,":[39],"often":[40],"proving":[41],"daunting":[42],"amateurs.":[44],"In":[45,94,119],"this":[46],"paper,":[47],"we":[48,78,99,123],"propose":[49],"novel":[51],"sketch":[52,73,81,104,139,152,163,188],"model":[54,149],"SketchAnimator,":[55],"which":[56],"enables":[57],"adding":[58],"creative":[59],"motion":[60,108,145,195],"to":[61,102,129,142],"given":[63,70],"sketch,":[64],"like":[65],"\"a":[66],"jumping":[67],"car\".":[68],"Namely,":[69],"an":[71],"input":[72],"reference":[76,112,172],"video,":[77],"divide":[79],"the":[80,111,115,120,131,134,143,158,162,167,171,186,191],"three":[84],"stages:":[85],"Appearance":[86],"Learning,":[87],"Motion":[88],"Learning":[89],"Video":[91],"Prior":[92],"Distillation.":[93],"stages":[95],"1":[96],"2,":[98],"utilize":[100,124],"LoRA":[101],"integrate":[103],"appearance":[105,160],"information":[106],"dynamics":[109],"from":[110],"video":[113,153,189],"pre-trained":[116],"T2V":[117],"model.":[118],"third":[121],"stage,":[122],"Score":[125],"Distillation":[126],"Sampling":[127],"(SDS)":[128],"update":[130],"parameters":[132],"B\u00e9zier":[135],"curves":[136],"in":[137],"each":[138],"frame":[140],"according":[141],"acquired":[144],"information.":[146],"Consequently,":[147],"our":[148,176],"produces":[150],"not":[155],"only":[156],"retains":[157],"original":[159],"but":[164],"also":[165],"mirrors":[166],"dynamic":[168],"movements":[169],"video.":[173],"We":[174],"compare":[175],"method":[177],"with":[178],"alternative":[179],"approaches":[180],"demonstrate":[182],"it":[184],"generates":[185],"desired":[187],"under":[190],"challenge":[192],"one-shot":[194],"customization.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-02-25T23:00:34.991745","created_date":"2025-10-10T00:00:00"}