{"id":"https://openalex.org/W7214897635","doi":"https://doi.org/10.48550/arxiv.2609.37831","title":"ReCaVSR: One-Step Streaming Diffusion Video Super-Resolution with Recycled Latents and Learned Cache Routing","display_name":"ReCaVSR: One-Step Streaming Diffusion Video Super-Resolution with Recycled Latents and Learned Cache Routing","publication_year":2026,"publication_date":"2026-09-29","ids":{"openalex":"https://openalex.org/W7214897635","doi":"https://doi.org/10.48550/arxiv.2609.37831"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2609.37831","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.37831","pdf_url":"https://arxiv.org/pdf/2609.37831","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2609.37831","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5153656288","display_name":"Xijun Wang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang, Xijun","raw_affiliation_strings":["University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153590878","display_name":"Xin Li","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li, Xin","raw_affiliation_strings":["University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048822923","display_name":"\u59da\u82cf\u676d","orcid":"https://orcid.org/0009-0001-8731-7224","observed_orcids":["https://orcid.org/0009-0001-8731-7224"]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao, Suhang","raw_affiliation_strings":["University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153629969","display_name":"Zirui Lang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lang, Zirui","raw_affiliation_strings":["University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153652672","display_name":"Bingchen Li","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li, Bingchen","raw_affiliation_strings":["University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5153675886","display_name":"Zhibo Chen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen, Zhibo","raw_affiliation_strings":["University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9312000274658203,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9312000274658203,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.06629999727010727,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.00039999998989515007,"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/video-super-resolution","display_name":"video super-resolution","score":0.984000027179718},{"id":"https://openalex.org/keywords/streaming-inference","display_name":"streaming inference","score":0.6909999847412109},{"id":"https://openalex.org/keywords/diffusion-models","display_name":"diffusion models","score":0.9190000295639038},{"id":"https://openalex.org/keywords/key-value-cache","display_name":"key-value cache","score":0.6110000014305115},{"id":"https://openalex.org/keywords/temporal-context","display_name":"temporal context","score":0.6819999814033508},{"id":"https://openalex.org/keywords/discriminator","display_name":"discriminator","score":0.3440000116825104},{"id":"https://openalex.org/keywords/real-time-video-processing","display_name":"real-time video processing","score":0.5509999990463257},{"id":"https://openalex.org/keywords/memory-efficiency","display_name":"memory efficiency","score":0.5770000219345093}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7964000105857849},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.7289999723434448},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4316999912261963},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.42750000953674316},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.3928000032901764},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.3853999972343445},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.38530001044273376},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.3515999913215637},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.35040000081062317},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.3278000056743622},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.3041999936103821},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.289900004863739},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.2897000014781952},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.2782999873161316},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.27379998564720154},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.27149999141693115},{"id":"https://openalex.org/C38556500","wikidata":"https://www.wikidata.org/wiki/Q13404475","display_name":"Cache algorithms","level":4,"score":0.2700999975204468},{"id":"https://openalex.org/C189783530","wikidata":"https://www.wikidata.org/wiki/Q352090","display_name":"CPU cache","level":3,"score":0.2700999975204468},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.2671000063419342},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2524000108242035}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2609.37831","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.37831","pdf_url":"https://arxiv.org/pdf/2609.37831","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2609.37831","doi":"https://doi.org/10.48550/arxiv.2609.37831","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2609.37831","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2609.37831","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.37831","pdf_url":"https://arxiv.org/pdf/2609.37831","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7214897635.pdf","grobid_xml":"https://content.openalex.org/works/W7214897635.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W4404311645","https://openalex.org/W4406457683","https://openalex.org/W4414809803","https://openalex.org/W4415270647","https://openalex.org/W4415329701","https://openalex.org/W4416138697","https://openalex.org/W4417136857","https://openalex.org/W4417152466","https://openalex.org/W4417308145","https://openalex.org/W7083830502","https://openalex.org/W7116162452","https://openalex.org/W7117685004","https://openalex.org/W7133357576","https://openalex.org/W7140233904","https://openalex.org/W7164052719","https://openalex.org/W7170171189","https://openalex.org/W7171411667"],"related_works":["https://openalex.org/W7117685004","https://openalex.org/W4415270647","https://openalex.org/W7221111385","https://openalex.org/W7143530024","https://openalex.org/W4415251844","https://openalex.org/W7214903919","https://openalex.org/W7171411667","https://openalex.org/W4414809803","https://openalex.org/W7140233904","https://openalex.org/W7221503815"],"abstract_inverted_index":{"Real-time":[0],"diffusion-based":[1],"video":[2],"super-resolution":[3],"(VSR)":[4],"is":[5,215],"in":[6],"high":[7],"demand":[8],"for":[9,27,45,123,144],"online":[10],"streaming,":[11],"yet":[12],"stringent":[13],"latency":[14],"requirements":[15],"often":[16],"compromise":[17],"generative":[18],"fidelity.":[19],"We":[20],"propose":[21],"ReCaVSR,":[22],"a":[23,82,87,114,137,185],"Wan2.2-based,":[24],"one-step":[25],"framework":[26],"streaming":[28,150,174],"VSR":[29,151,165,178],"that":[30,140],"builds":[31],"on":[32,103,161,184],"two":[33],"observations:":[34],"recycled":[35,70,92],"SR":[36,71,93],"latents":[37,94],"retain":[38],"local":[39,96,126],"temporal":[40,58,79,130,171],"context,":[41],"reducing":[42],"the":[43,104],"need":[44],"full":[46,156],"historical":[47,157],"Key-Value":[48],"(KV)":[49],"caches;":[50],"and":[51,85,120,129,163,173],"individual":[52],"transformer":[53],"layers":[54],"benefit":[55],"from":[56],"distinct":[57],"scopes.":[59],"ReCaVSR":[60,148,189],"combines":[61],"three":[62],"complementary":[63],"designs:":[64],"(i)":[65],"layer-wise":[66],"cache":[67,83],"routing":[68],"with":[69,193],"latents:":[72],"each":[73,100],"DiT":[74],"layer":[75],"learns":[76],"its":[77],"KV-cache":[78,158],"scope":[80],"under":[81],"budget":[84],"exports":[86],"static":[88],"inference":[89],"schedule,":[90],"while":[91,203],"propagate":[95],"context":[97],"by":[98],"conditioning":[99],"new":[101],"block":[102],"model's":[105],"own":[106],"preceding":[107],"predictions.":[108],"(ii)":[109],"Multi-Scope":[110],"Query":[111],"(MSQ)":[112],"Discriminator:":[113],"compositional":[115],"discriminator":[116],"combining":[117],"global,":[118],"spatial-window,":[119],"temporal-tube":[121],"feedback":[122],"holistic":[124],"realism,":[125],"texture":[127],"generation,":[128],"stability.":[131],"(iii)":[132],"LR-conditioned":[133],"adaptation":[134],"of":[135],"FlashDecoder:":[136],"VAE":[138],"decoder":[139],"incorporates":[141],"LR":[142],"observations":[143],"efficient":[145],"latent":[146],"decoding.":[147],"enables":[149],"without":[152],"iterative":[153],"sampling":[154],"or":[155],"materialization.":[159],"Experiments":[160],"synthetic":[162],"real-world":[164],"benchmarks":[166],"show":[167],"better":[168],"perceptual":[169],"quality,":[170],"consistency,":[172],"efficiency":[175],"than":[176,210],"representative":[177],"baselines.":[179],"At":[180],"$1080{\\times}1920$":[181],"output":[182],"resolution":[183],"single":[186],"NVIDIA":[187],"A100-80GB,":[188],"achieves":[190],"21.20":[191],"FPS":[192],"15.16":[194],"GB":[195],"peak":[196,207],"allocated":[197,208],"GPU":[198],"memory,":[199],"running":[200],"2.72$\\times$":[201],"faster":[202],"using":[204],"38.0\\%":[205],"less":[206],"memory":[209],"FlashVSR":[211],"Tiny.":[212],"The":[213],"code":[214],"available":[216],"at":[217],"https://github.com/kopperx/ReCaVSR.":[218]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-10-01T00:00:00"}