{"id":"https://openalex.org/W7160329060","doi":"https://doi.org/10.1109/wacv61042.2026.00073","title":"Zero-Shot Video Deraining with Video Diffusion Models","display_name":"Zero-Shot Video Deraining with Video Diffusion Models","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W7160329060","doi":"https://doi.org/10.1109/wacv61042.2026.00073"},"language":null,"primary_location":{"id":"doi:10.1109/wacv61042.2026.00073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","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/A5084641956","display_name":"Tuomas Varanka","orcid":"https://orcid.org/0000-0002-7795-705X"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Tuomas Varanka","raw_affiliation_strings":["University of Oulu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oulu","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062891646","display_name":"Juan Luis Gonzalez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Juan Luis Gonzalez","raw_affiliation_strings":["Flawless AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Flawless AI","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135284954","display_name":"Hyeongwoo Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hyeongwoo Kim","raw_affiliation_strings":["Flawless AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Flawless AI","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135364889","display_name":"Pablo Garrido","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pablo Garrido","raw_affiliation_strings":["Flawless AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Flawless AI","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5135296648","display_name":"Xu Yao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu Yao","raw_affiliation_strings":["Flawless AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Flawless AI","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"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":0.52748614,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"677","last_page":"687"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.17419999837875366,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.17419999837875366,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.06400000303983688,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.06350000202655792,"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/diffusion","display_name":"Diffusion","score":0.3743000030517578},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.27129998803138733},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.24639999866485596},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.24459999799728394}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4693000018596649},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43549999594688416},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3896999955177307},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.3743000030517578},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31610000133514404},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.24639999866485596},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24549999833106995},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.24459999799728394},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.24310000240802765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv61042.2026.00073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","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":49,"referenced_works":["https://openalex.org/W2121396509","https://openalex.org/W2209874411","https://openalex.org/W2466666260","https://openalex.org/W2617199345","https://openalex.org/W2780930362","https://openalex.org/W2948667002","https://openalex.org/W2962793481","https://openalex.org/W2963843230","https://openalex.org/W3035688623","https://openalex.org/W3109908659","https://openalex.org/W3158248812","https://openalex.org/W3176958085","https://openalex.org/W4214745154","https://openalex.org/W4312295033","https://openalex.org/W4312723380","https://openalex.org/W4312933868","https://openalex.org/W4376131251","https://openalex.org/W4382462760","https://openalex.org/W4386071513","https://openalex.org/W4386076273","https://openalex.org/W4386076532","https://openalex.org/W4386113271","https://openalex.org/W4390871727","https://openalex.org/W4390872297","https://openalex.org/W4390873054","https://openalex.org/W4390873195","https://openalex.org/W4400251126","https://openalex.org/W4400722701","https://openalex.org/W4401306839","https://openalex.org/W4402660162","https://openalex.org/W4402713100","https://openalex.org/W4402727539","https://openalex.org/W4402727831","https://openalex.org/W4402753991","https://openalex.org/W4403587222","https://openalex.org/W4403791287","https://openalex.org/W4404533930","https://openalex.org/W4405003063","https://openalex.org/W4408915169","https://openalex.org/W4409262782","https://openalex.org/W4409346457","https://openalex.org/W4411119390","https://openalex.org/W4413145173","https://openalex.org/W4415798267","https://openalex.org/W7133185348","https://openalex.org/W7133218093","https://openalex.org/W7151901734","https://openalex.org/W7160136461","https://openalex.org/W7160193479"],"related_works":[],"abstract_inverted_index":{"Existing":[0],"video":[1,71,103],"deraining":[2,72],"methods":[3,184],"are":[4],"often":[5],"trained":[6],"on":[7,175],"paired":[8],"datasets,":[9,178],"either":[10],"synthetic,":[11],"which":[12,26],"limits":[13],"their":[14,28],"ability":[15],"to":[16,18,53,60],"generalize":[17],"real-world":[19,176],"rain,":[20],"or":[21],"captured":[22],"by":[23,87,164],"static":[24],"cameras,":[25],"restricts":[27],"effectiveness":[29],"in":[30,41],"dynamic":[31,76,147],"scenes":[32,77],"with":[33],"background":[34],"and":[35,117,157,185],"camera":[36],"motion.":[37],"Furthermore,":[38],"recent":[39],"works":[40],"fine-tuning":[42,51],"diffusion":[43,92,109],"models":[44],"have":[45],"shown":[46],"promising":[47],"results,":[48],"but":[49],"the":[50,55,68,105,121,130,155,158,190],"tends":[52],"weaken":[54],"generative":[56],"prior,":[57],"limiting":[58],"generalization":[59,97,188],"unseen":[61],"cases.":[62],"In":[63],"this":[64],"paper,":[65],"we":[66,141],"introduce":[67],"first":[69],"zero-shot":[70],"method":[73],"for":[74,145,192],"complex":[75],"that":[78,94,140],"does":[79],"not":[80],"require":[81],"synthetic":[82],"data":[83],"nor":[84],"model":[85,93],"fine-tuning,":[86],"leveraging":[88],"a":[89],"pretrained":[90],"text-to-video":[91],"demonstrates":[95],"strong":[96],"capabilities.":[98],"By":[99],"inverting":[100],"an":[101,136],"input":[102,156],"into":[104],"latent":[106],"space":[107],"of":[108,124,132],"models,":[110],"its":[111],"reconstruction":[112],"process":[113],"can":[114],"be":[115],"intervened":[116],"pushed":[118],"away":[119],"from":[120],"model\u2019s":[122],"concept":[123],"rain":[125,177],"using":[126],"negative":[127,166],"prompting.":[128,167],"At":[129],"core":[131],"our":[133],"approach":[134,169],"is":[135,143,170],"attention":[137],"switching":[138],"mechanism":[139],"found":[142],"crucial":[144],"maintaining":[146],"backgrounds":[148],"as":[149,151],"well":[150],"structural":[152],"consistency":[153],"between":[154],"derained":[159],"video,":[160],"mitigating":[161],"artifacts":[162],"introduced":[163],"naive":[165],"Our":[168],"validated":[171],"through":[172],"extensive":[173],"experiments":[174],"demonstrating":[179],"substantial":[180],"improvements":[181],"over":[182],"prior":[183],"showcasing":[186],"robust":[187],"without":[189],"need":[191],"supervised":[193],"training.":[194]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-05-06T00:00:00"}