{"id":"https://openalex.org/W4402727316","doi":"https://doi.org/10.1109/cvpr52733.2024.00013","title":"FMA-Net: Flow-Guided Dynamic Filtering and Iterative Feature Refinement with Multi-Attention for Joint Video Super-Resolution and Deblurring","display_name":"FMA-Net: Flow-Guided Dynamic Filtering and Iterative Feature Refinement with Multi-Attention for Joint Video Super-Resolution and Deblurring","publication_year":2024,"publication_date":"2024-06-16","ids":{"openalex":"https://openalex.org/W4402727316","doi":"https://doi.org/10.1109/cvpr52733.2024.00013"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52733.2024.00013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52733.2024.00013","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/A5037415682","display_name":"Geunhyuk Youk","orcid":"https://orcid.org/0009-0000-2674-7741"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]},{"id":"https://openalex.org/I4210099236","display_name":"Kootenay Association for Science & Technology","ror":"https://ror.org/011pv9p44","country_code":"CA","type":"nonprofit","lineage":["https://openalex.org/I4210099236"]}],"countries":["CA","KR"],"is_corresponding":false,"raw_author_name":"Geunhyuk Youk","raw_affiliation_strings":["KAIST"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST","institution_ids":["https://openalex.org/I157485424","https://openalex.org/I4210099236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090121183","display_name":"Jihyong Oh","orcid":"https://orcid.org/0000-0002-1627-0529"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jihyong Oh","raw_affiliation_strings":["Chung-Ang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chung-Ang University","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088335007","display_name":"Munchurl Kim","orcid":"https://orcid.org/0000-0003-1634-7722"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]},{"id":"https://openalex.org/I4210099236","display_name":"Kootenay Association for Science & Technology","ror":"https://ror.org/011pv9p44","country_code":"CA","type":"nonprofit","lineage":["https://openalex.org/I4210099236"]}],"countries":["CA","KR"],"is_corresponding":false,"raw_author_name":"Munchurl Kim","raw_affiliation_strings":["KAIST"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST","institution_ids":["https://openalex.org/I157485424","https://openalex.org/I4210099236"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"44","last_page":"55"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":1.0,"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":1.0,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9973000288009644,"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":0.9783999919891357,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/deblurring","display_name":"Deblurring","score":0.9615175724029541},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.755641758441925},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7252744436264038},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6664988994598389},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5851259231567383},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5700798630714417},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.5625835061073303},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.47203174233436584},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4459609389305115},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36799925565719604},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3663880228996277},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31192219257354736},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.2587951123714447},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.20300424098968506},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12280860543251038},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0812038779258728}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9615175724029541},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.755641758441925},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7252744436264038},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6664988994598389},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5851259231567383},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5700798630714417},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.5625835061073303},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.47203174233436584},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4459609389305115},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36799925565719604},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3663880228996277},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31192219257354736},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.2587951123714447},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.20300424098968506},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12280860543251038},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0812038779258728},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52733.2024.00013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52733.2024.00013","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":[{"id":"https://openalex.org/G4649977737","display_name":null,"funder_award_id":"2021-0-00087","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"}],"funders":[{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":95,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W603908379","https://openalex.org/W1522301498","https://openalex.org/W1598936309","https://openalex.org/W1917431891","https://openalex.org/W1985806826","https://openalex.org/W2016482162","https://openalex.org/W2069143585","https://openalex.org/W2095944648","https://openalex.org/W2117865218","https://openalex.org/W2133665775","https://openalex.org/W2151109506","https://openalex.org/W2242218935","https://openalex.org/W2476548250","https://openalex.org/W2557227117","https://openalex.org/W2560533888","https://openalex.org/W2601564443","https://openalex.org/W2604329646","https://openalex.org/W2610638008","https://openalex.org/W2738579427","https://openalex.org/W2776004874","https://openalex.org/W2796314858","https://openalex.org/W2866634454","https://openalex.org/W2891158090","https://openalex.org/W2891511203","https://openalex.org/W2906021645","https://openalex.org/W2923834406","https://openalex.org/W2953133772","https://openalex.org/W2953823547","https://openalex.org/W2962927175","https://openalex.org/W2963050774","https://openalex.org/W2963312584","https://openalex.org/W2963814095","https://openalex.org/W2964040059","https://openalex.org/W2964101377","https://openalex.org/W2964251418","https://openalex.org/W2964277374","https://openalex.org/W2964317599","https://openalex.org/W2965669158","https://openalex.org/W2987477823","https://openalex.org/W2996880115","https://openalex.org/W3001201412","https://openalex.org/W3010644855","https://openalex.org/W3033024946","https://openalex.org/W3034475761","https://openalex.org/W3034850705","https://openalex.org/W3035047434","https://openalex.org/W3035484352","https://openalex.org/W3047354607","https://openalex.org/W3047426927","https://openalex.org/W3085056143","https://openalex.org/W3092954151","https://openalex.org/W3094502228","https://openalex.org/W3101787898","https://openalex.org/W3107184287","https://openalex.org/W3109908659","https://openalex.org/W3157035436","https://openalex.org/W3169612303","https://openalex.org/W3171206729","https://openalex.org/W3174332962","https://openalex.org/W3176148916","https://openalex.org/W3176334871","https://openalex.org/W3189385537","https://openalex.org/W3203827541","https://openalex.org/W3207918547","https://openalex.org/W4214626557","https://openalex.org/W4221049422","https://openalex.org/W4225672218","https://openalex.org/W4236965008","https://openalex.org/W4281668669","https://openalex.org/W4282937861","https://openalex.org/W4309391566","https://openalex.org/W4312359350","https://openalex.org/W4312409473","https://openalex.org/W4312914040","https://openalex.org/W4312936768","https://openalex.org/W4312985394","https://openalex.org/W4385245566","https://openalex.org/W4386071577","https://openalex.org/W4386075642","https://openalex.org/W4386075702","https://openalex.org/W4386083034","https://openalex.org/W4392543517","https://openalex.org/W6618372016","https://openalex.org/W6631190155","https://openalex.org/W6682344109","https://openalex.org/W6716109767","https://openalex.org/W6750637896","https://openalex.org/W6753561479","https://openalex.org/W6761223032","https://openalex.org/W6784333009","https://openalex.org/W6796568838","https://openalex.org/W6799457787","https://openalex.org/W6803916128","https://openalex.org/W6839136058"],"related_works":["https://openalex.org/W4308216825","https://openalex.org/W4312281738","https://openalex.org/W2786875726","https://openalex.org/W4287817146","https://openalex.org/W2062923025","https://openalex.org/W4226194415","https://openalex.org/W3009226622","https://openalex.org/W3015323103","https://openalex.org/W2088835499","https://openalex.org/W1555448686"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,43,129],"joint":[3,25],"learning":[4],"scheme":[5],"of":[6,71,81,140,149],"video":[7],"super-resolution":[8],"and":[9,49,75,123,152,156],"deblurring,":[10],"called":[11],"VSRDB,":[12],"to":[13,34,90,99],"restore":[14],"clean":[15],"high-resolution":[16],"(HR)":[17],"videos":[18],"from":[19],"blurry":[20],"low-resolution":[21],"(LR)":[22],"ones.":[23],"This":[24],"restoration":[26,36,76],"problem":[27],"has":[28],"drawn":[29],"much":[30],"less":[31],"attention":[32],"compared":[33],"single":[35],"problems.":[37],"In":[38],"this":[39],"paper,":[40],"we":[41],"propose":[42],"novel":[44,115],"flow-guided":[45],"dynamic":[46,92],"filtering":[47],"(FGDF)":[48],"iterative":[50,133],"feature":[51],"refinement":[52],"with":[53,113],"multi-attention":[54],"(FRMA),":[55],"which":[56,120],"constitutes":[57],"our":[58,65,114],"VSRDB":[59],"framework,":[60],"denoted":[61],"as":[62],"FMA-Net.":[63],"Specifically,":[64],"proposed":[66,142],"FGDF":[67,95],"enables":[68,96],"precise":[69],"estimation":[70],"both":[72,150],"spatiotemporally-variant":[73],"degradation":[74],"kernels":[77],"that":[78],"are":[79,159],"aware":[80],"motion":[82,86],"trajectories":[83],"through":[84,132],"sophisticated":[85],"representation":[87],"learning.":[88],"Compared":[89],"conventional":[91],"filtering,":[93],"the":[94,97,105,108,138,141],"FMA-Net":[98,143],"effectively":[100],"handle":[101],"large":[102],"motions":[103],"into":[104],"VSRDB.":[106],"Additionally,":[107],"stacked":[109],"FRMA":[110],"blocks":[111],"trained":[112],"temporal":[116],"anchor":[117],"(TA)":[118],"loss,":[119],"temporally":[121],"anchors":[122],"sharpens":[124],"features,":[125],"refine":[126],"features":[127],"in":[128,147],"coarse-to-fine":[130],"manner":[131],"updates.":[134],"Extensive":[135],"experiments":[136],"demonstrate":[137],"superiority":[139],"over":[144],"state-of-the-art":[145],"methods":[146],"terms":[148],"quantitative":[151],"qualitative":[153],"quality.":[154],"Codes":[155],"pretrained":[157],"models":[158],"available":[160],"at:":[161],"https://kaist-viclab.github.io/fmanetsite.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
