{"id":"https://openalex.org/W4403791596","doi":"https://doi.org/10.1145/3664647.3680846","title":"Motion-aware Latent Diffusion Models for Video Frame Interpolation","display_name":"Motion-aware Latent Diffusion Models for Video Frame Interpolation","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403791596","doi":"https://doi.org/10.1145/3664647.3680846"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3680846","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3680846","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","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/A5101113352","display_name":"Zhilin Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhilin Huang","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University & Pengcheng Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University & Pengcheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111199152","display_name":"Yijie Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijie Yu","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University & Pengcheng Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University & Pengcheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022659405","display_name":"L. Yang","orcid":"https://orcid.org/0000-0003-1905-8053"},"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":"Ling Yang","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034643682","display_name":"Chujun Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chujun Qin","raw_affiliation_strings":["China Southern Power Grid, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"China Southern Power Grid, Guangzhou, China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111250339","display_name":"Bing Zheng","orcid":"https://orcid.org/0009-0004-3841-7271"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Zheng","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University & Pengcheng Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University & Pengcheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054226277","display_name":"Xiawu Zheng","orcid":"https://orcid.org/0000-0002-6855-5403"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiawu Zheng","raw_affiliation_strings":["Xiamen University & Pengcheng Laboratory, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Xiamen University & Pengcheng Laboratory, Xiamen, China","institution_ids":["https://openalex.org/I4210136793","https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055330568","display_name":"Zikun Zhou","orcid":"https://orcid.org/0000-0002-2687-7762"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zikun Zhou","raw_affiliation_strings":["Pengcheng Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073082132","display_name":"Yaowei Wang","orcid":"https://orcid.org/0000-0002-6110-4036"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaowei Wang","raw_affiliation_strings":["Pengcheng Laboratory & Harbin Institute of Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory & Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026184280","display_name":"Wenming Yang","orcid":"https://orcid.org/0000-0002-2506-1286"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenming Yang","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University & Pengcheng Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University & Pengcheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5101113352"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":1.9943,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.88110964,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1043","last_page":"1052"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9991000294685364,"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":0.9975000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.7599430680274963},{"id":"https://openalex.org/keywords/motion-interpolation","display_name":"Motion interpolation","score":0.7195578217506409},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7133364677429199},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5934475064277649},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5862041115760803},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5705925822257996},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5228265523910522},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.48501893877983093},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.44388407468795776},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.43093952536582947},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.21931889653205872},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.1882060468196869},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.16979509592056274}],"concepts":[{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.7599430680274963},{"id":"https://openalex.org/C72560505","wikidata":"https://www.wikidata.org/wiki/Q204510","display_name":"Motion interpolation","level":5,"score":0.7195578217506409},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7133364677429199},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5934475064277649},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5862041115760803},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5705925822257996},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5228265523910522},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.48501893877983093},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.44388407468795776},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.43093952536582947},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.21931889653205872},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.1882060468196869},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.16979509592056274},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3664647.3680846","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3680846","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W206948248","https://openalex.org/W1983364832","https://openalex.org/W2016574277","https://openalex.org/W2133665775","https://openalex.org/W2147253850","https://openalex.org/W2470139095","https://openalex.org/W2472115300","https://openalex.org/W2586480386","https://openalex.org/W2590382526","https://openalex.org/W2755006634","https://openalex.org/W2769654144","https://openalex.org/W2797343523","https://openalex.org/W2885478207","https://openalex.org/W2904275768","https://openalex.org/W2938463073","https://openalex.org/W2959300817","https://openalex.org/W2962785568","https://openalex.org/W2963073614","https://openalex.org/W2963093735","https://openalex.org/W2963189365","https://openalex.org/W2963268050","https://openalex.org/W2964156315","https://openalex.org/W2997150500","https://openalex.org/W2998645105","https://openalex.org/W3004970274","https://openalex.org/W3013427177","https://openalex.org/W3013522332","https://openalex.org/W3034921716","https://openalex.org/W3035239272","https://openalex.org/W3036167779","https://openalex.org/W3040838455","https://openalex.org/W3102015846","https://openalex.org/W3168286621","https://openalex.org/W3171519093","https://openalex.org/W3178187403","https://openalex.org/W3180355996","https://openalex.org/W3184828860","https://openalex.org/W3202138477","https://openalex.org/W3203041407","https://openalex.org/W3206778864","https://openalex.org/W4214626557","https://openalex.org/W4281706822","https://openalex.org/W4285604424","https://openalex.org/W4288326926","https://openalex.org/W4308237661","https://openalex.org/W4308238108","https://openalex.org/W4312364368","https://openalex.org/W4312770027","https://openalex.org/W4312852806","https://openalex.org/W4312857869","https://openalex.org/W4312933868","https://openalex.org/W4319301042","https://openalex.org/W4385285879","https://openalex.org/W4386076324","https://openalex.org/W4387967930","https://openalex.org/W4393149921","https://openalex.org/W4393153201","https://openalex.org/W4402660149","https://openalex.org/W6779823529"],"related_works":["https://openalex.org/W1981567325","https://openalex.org/W3182003342","https://openalex.org/W2001793939","https://openalex.org/W2548663392","https://openalex.org/W2039648336","https://openalex.org/W2124704021","https://openalex.org/W1970397300","https://openalex.org/W2130864343","https://openalex.org/W4312887756","https://openalex.org/W2157883755"],"abstract_inverted_index":{"With":[0],"the":[1,24,27,50,87,95,100,106,113],"advancement":[2],"of":[3],"AIGC,":[4],"video":[5,16],"frame":[6,103],"interpolation":[7],"(VFI)":[8],"has":[9],"become":[10],"a":[11,34,73],"crucial":[12,35],"component":[13],"in":[14,37,117],"existing":[15,42,140],"generation":[17],"frameworks,":[18],"attracting":[19],"widespread":[20],"research":[21],"interest.":[22],"For":[23],"VFI":[25,43,88],"task,":[26],"motion":[28,39,51,92],"estimation":[29,59],"between":[30,53,94],"neighboring":[31,97],"frames":[32,98],"plays":[33],"role":[36],"avoiding":[38],"ambiguity.":[40],"However,":[41],"methods":[44],"always":[45],"struggle":[46],"to":[47,61],"accurately":[48],"predict":[49],"information":[52],"consecutive":[54],"frames,":[55],"and":[56,63,122],"this":[57,69],"imprecise":[58],"leads":[60],"blurred":[62],"visually":[64,120],"incoherent":[65],"interpolated":[66,102],"frames.":[67],"In":[68],"paper,":[70],"we":[71],"propose":[72],"novel":[74],"diffusion":[75,107],"framework,":[76],"Motion-Aware":[77],"latent":[78],"Diffusion":[79],"models":[80],"(MADiff),":[81],"which":[82],"is":[83],"specifically":[84],"designed":[85],"for":[86],"task.":[89],"By":[90],"incorporating":[91],"priors":[93],"conditional":[96],"with":[99,149],"target":[101],"predicted":[104],"throughout":[105],"sampling":[108],"procedure,":[109],"MADiff":[110],"progressively":[111],"refines":[112],"intermediate":[114],"outcomes,":[115],"culminating":[116],"generating":[118],"both":[119],"smooth":[121],"realistic":[123],"results.":[124],"Extensive":[125],"experiments":[126],"conducted":[127],"on":[128],"benchmark":[129],"datasets":[130],"demonstrate":[131],"that":[132],"our":[133],"method":[134],"achieves":[135],"state-of-the-art":[136],"performance":[137],"significantly":[138],"outperforming":[139],"approaches,":[141],"especially":[142],"under":[143],"challenging":[144],"scenarios":[145],"involving":[146],"dynamic":[147],"textures":[148],"complex":[150],"motion.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}