{"id":"https://openalex.org/W4402716133","doi":"https://doi.org/10.1109/cvpr52733.2024.00789","title":"Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis","display_name":"Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis","publication_year":2024,"publication_date":"2024-06-16","ids":{"openalex":"https://openalex.org/W4402716133","doi":"https://doi.org/10.1109/cvpr52733.2024.00789"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52733.2024.00789","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52733.2024.00789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5120863457","display_name":"Bichen Wu","orcid":"https://orcid.org/0000-0002-2649-5561"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bichen Wu","raw_affiliation_strings":["GenAI, Meta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GenAI, Meta","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008612202","display_name":"Ching-Yao Chuang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ching-Yao Chuang","raw_affiliation_strings":["GenAI, Meta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GenAI, Meta","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100381807","display_name":"Xiaoyan Wang","orcid":"https://orcid.org/0000-0003-1240-4953"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoyan Wang","raw_affiliation_strings":["GenAI, Meta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GenAI, Meta","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063925731","display_name":"Yichen Jia","orcid":"https://orcid.org/0009-0007-2885-0997"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yichen Jia","raw_affiliation_strings":["GenAI, Meta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GenAI, Meta","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089659728","display_name":"Kapil Krishnakumar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kapil Krishnakumar","raw_affiliation_strings":["GenAI, Meta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GenAI, Meta","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075452279","display_name":"Tong Xiao","orcid":"https://orcid.org/0000-0002-2130-2281"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tong Xiao","raw_affiliation_strings":["GenAI, Meta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GenAI, Meta","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100448893","display_name":"Feng Liang","orcid":"https://orcid.org/0000-0002-3868-4845"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng Liang","raw_affiliation_strings":["GenAI, Meta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GenAI, Meta","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036418431","display_name":"Licheng Yu","orcid":"https://orcid.org/0000-0002-4943-6732"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Licheng Yu","raw_affiliation_strings":["GenAI, Meta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GenAI, Meta","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015536490","display_name":"P. Vajda","orcid":"https://orcid.org/0000-0001-9046-480X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peter Vajda","raw_affiliation_strings":["GenAI, Meta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GenAI, Meta","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8405,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.89505547,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"8261","last_page":"8270"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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":0.9998000264167786,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.996999979019165,"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":0.7680215239524841},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4480557441711426},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.38084059953689575}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7680215239524841},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4480557441711426},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.38084059953689575}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52733.2024.00789","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52733.2024.00789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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":42,"referenced_works":["https://openalex.org/W2916743882","https://openalex.org/W2956900569","https://openalex.org/W4206046513","https://openalex.org/W4224035735","https://openalex.org/W4281485151","https://openalex.org/W4281969232","https://openalex.org/W4289785045","https://openalex.org/W4306820534","https://openalex.org/W4308619093","https://openalex.org/W4312872987","https://openalex.org/W4312933868","https://openalex.org/W4323718574","https://openalex.org/W4361866143","https://openalex.org/W4379912396","https://openalex.org/W4379961468","https://openalex.org/W4385018097","https://openalex.org/W4386071686","https://openalex.org/W4386113271","https://openalex.org/W4387164994","https://openalex.org/W4387800079","https://openalex.org/W4389539288","https://openalex.org/W4390871782","https://openalex.org/W4390872556","https://openalex.org/W4390873135","https://openalex.org/W4390874580","https://openalex.org/W4402702999","https://openalex.org/W6759534164","https://openalex.org/W6809885388","https://openalex.org/W6838452192","https://openalex.org/W6838639034","https://openalex.org/W6841366371","https://openalex.org/W6846007759","https://openalex.org/W6846523392","https://openalex.org/W6850484678","https://openalex.org/W6850636897","https://openalex.org/W6853300428","https://openalex.org/W6853660567","https://openalex.org/W6854944684","https://openalex.org/W6855605352","https://openalex.org/W6856001142","https://openalex.org/W6856858123","https://openalex.org/W6857267394"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"introduce":[4],"Fairy,":[5],"a":[6,31,66],"minimalist":[7],"yet":[8],"ro-bust":[9],"adaptation":[10],"of":[11,27,52],"image-editing":[12],"diffusion":[13,36],"models,":[14],"enhancing":[15],"them":[16],"for":[17],"video":[18],"editing":[19],"applications.":[20],"Our":[21],"approach":[22,121],"centers":[23],"on":[24,55],"the":[25,74],"concept":[26],"anchor-based":[28],"cross-frame":[29],"attention,":[30],"mechanism":[32],"that":[33,119],"implicitly":[34],"propagates":[35],"features":[37],"across":[38],"frames,":[39],"ensuring":[40],"superior":[41,123],"temporal":[42,63],"coherence":[43],"and":[44,57,83],"high-fidelity":[45],"synthesis.":[46],"Fairy":[47,88],"not":[48],"only":[49],"addresses":[50],"limitations":[51],"previous":[53],"models":[54],"memory":[56],"processing":[58],"speed,":[59],"but":[60],"also":[61],"improves":[62],"consistency":[64],"through":[65],"unique":[67],"data":[68],"augmentation":[69],"strategy.":[70],"This":[71],"strategy":[72],"renders":[73],"model":[75],"equivariant":[76],"to":[77],"affine":[78],"transformations":[79],"in":[80,99],"both":[81],"source":[82],"target":[84],"images.":[85],"Remarkably":[86],"efficient,":[87],"generates":[89],"120-":[90],"frame":[91],"512\u00d7384":[92],"videos":[93],"(4-second":[94],"duration":[95],"at":[96,107],"30":[97],"FPS)":[98],"just":[100],"14":[101],"seconds,":[102],"outpacing":[103],"prior":[104],"works":[105],"by":[106],"least":[108],"44\u00d7.":[109],"A":[110],"comprehensive":[111],"user":[112],"study,":[113],"involving":[114],"1000":[115],"generated":[116],"samples,":[117],"confirms":[118],"our":[120],"delivers":[122],"quality,":[124],"decisively":[125],"outperforming":[126],"established":[127],"methods.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}