{"id":"https://openalex.org/W7162000211","doi":"https://doi.org/10.48550/arxiv.2605.21079","title":"VDFP: Video Deflickering with Flicker-banding Priors","display_name":"VDFP: Video Deflickering with Flicker-banding Priors","publication_year":2026,"publication_date":"2026-05-20","ids":{"openalex":"https://openalex.org/W7162000211","doi":"https://doi.org/10.48550/arxiv.2605.21079"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.21079","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.21079","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.21079","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5124892473","display_name":"Zhiyi Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Zhiyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136698300","display_name":"Libo Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Libo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136723423","display_name":"Zihan Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Zihan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136685591","display_name":"Yulun Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yulun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136659210","display_name":"Xiaokang Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Xiaokang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.17309999465942383,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.17309999465942383,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.16300000250339508,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.08749999850988388,"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/prior-probability","display_name":"Prior probability","score":0.6179999709129333},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5637000203132629},{"id":"https://openalex.org/keywords/luminance","display_name":"Luminance","score":0.5317999720573425},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5123999714851379},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4950999915599823},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.48249998688697815},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.46880000829696655},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4147000014781952}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7533000111579895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6866999864578247},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6179999709129333},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6107000112533569},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5637000203132629},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.5317999720573425},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5123999714851379},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4950999915599823},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.48249998688697815},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.46880000829696655},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4147000014781952},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.36399999260902405},{"id":"https://openalex.org/C2778562939","wikidata":"https://www.wikidata.org/wiki/Q1298791","display_name":"Synchronization (alternating current)","level":3,"score":0.3495999872684479},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.3330000042915344},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.3118000030517578},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.3021000027656555},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.29829999804496765},{"id":"https://openalex.org/C2776166537","wikidata":"https://www.wikidata.org/wiki/Q2164193","display_name":"Rolling shutter","level":3,"score":0.28679999709129333},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.27399998903274536},{"id":"https://openalex.org/C2776871301","wikidata":"https://www.wikidata.org/wiki/Q691823","display_name":"Shutter","level":2,"score":0.2734000086784363}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.21079","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.21079","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.21079","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.21079","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6387269496917725}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Capturing":[0],"digital":[1],"screens":[2],"with":[3,19,45,57,143],"smartphones":[4],"frequently":[5],"induces":[6],"severe":[7],"banding":[8,142],"due":[9],"to":[10,43,108],"hardware":[11],"synchronization":[12],"mismatches.":[13],"Existing":[14],"video":[15],"restoration":[16],"methods":[17],"struggle":[18],"these":[20],"structured,":[21],"periodic":[22],"luminance":[23,111],"fluctuations,":[24],"often":[25],"resulting":[26],"in":[27,40],"residual":[28],"artifacts":[29],"or":[30],"over-smoothed":[31],"textures.":[32],"We":[33],"firstly":[34],"construct":[35],"DeViD,":[36],"a":[37,60,68,87,102],"real-world":[38],"dataset":[39,151],"various":[41],"scenes":[42],"deal":[44],"the":[46,110],"lack":[47],"of":[48,79],"available":[49],"datasets.":[50],"Then":[51],"we":[52,66,85],"propose":[53],"VDFP":[54,135],"(Video":[55],"Deflickering":[56],"Flicker-banding":[58],"Priors),":[59],"novel":[61],"perception-guided":[62],"generation":[63],"framework.":[64],"First,":[65],"introduce":[67],"Degradation":[69],"Field":[70],"Modeling":[71],"Based":[72],"on":[73],"Rolling":[74],"Shutter":[75],"Mechanism":[76],"(DFM)":[77],"capable":[78],"synthesizing":[80],"complex":[81,141],"multi-banding":[82],"scenarios.":[83],"Second,":[84],"present":[86],"spatial-temporal":[88,128],"continuous":[89],"prior":[90,129],"perception":[91],"(CPP).":[92],"Unlike":[93],"traditional":[94],"binary":[95],"segmentation,":[96],"this":[97],"module":[98],"is":[99],"optimized":[100],"via":[101],"Flicker-Aware":[103],"Mean":[104],"Squared":[105],"Error":[106],"(FA-MSE)":[107],"capture":[109],"transitions.":[112],"By":[113],"zero-initializing":[114],"an":[115],"augmented":[116],"input":[117],"layer,":[118],"our":[119],"model":[120],"preserves":[121],"pre-trained":[122],"generative":[123],"priors":[124],"as":[125,127],"well":[126],"perception.":[130],"Extensive":[131],"experiments":[132],"demonstrate":[133],"that":[134],"significantly":[136],"outperforms":[137],"other":[138],"methods,":[139],"eliminating":[140],"high-fidelity":[144],"spatial":[145],"details":[146],"and":[147,152],"temporal":[148],"consistency.":[149],"Our":[150],"code":[153],"will":[154],"be":[155],"released":[156],"at":[157],"https://github.com/ZhiyiZZhou/VDFP.":[158]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-22T00:00:00"}