{"id":"https://openalex.org/W7154580965","doi":"https://doi.org/10.48550/arxiv.2604.13425","title":"VibeFlow: Versatile Video Chroma-Lux Editing through Self-Supervised Learning","display_name":"VibeFlow: Versatile Video Chroma-Lux Editing through Self-Supervised Learning","publication_year":2026,"publication_date":"2026-04-15","ids":{"openalex":"https://openalex.org/W7154580965","doi":"https://doi.org/10.48550/arxiv.2604.13425"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.13425","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.13425","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.2604.13425","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100427070","display_name":"Yifan Li","orcid":"https://orcid.org/0009-0001-9822-3397"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Li, Yifan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133776762","display_name":"Pei Cheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng, Pei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133827338","display_name":"Bin Fu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fu, Bin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133793599","display_name":"Shuai Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Shuai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133771422","display_name":"Jiaying Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Jiaying","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100427070"],"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/T11019","display_name":"Image Enhancement Techniques","score":0.607699990272522,"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/T11019","display_name":"Image Enhancement Techniques","score":0.607699990272522,"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":0.3490999937057495,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.004399999976158142,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/view-synthesis","display_name":"View synthesis","score":0.602400004863739},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5336999893188477},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5077999830245972},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4968000054359436},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.47690001130104065},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.4372999966144562},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.37209999561309814},{"id":"https://openalex.org/keywords/data-consistency","display_name":"Data consistency","score":0.35910001397132874}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8112000226974487},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.602400004863739},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5782999992370605},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5336999893188477},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5077999830245972},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4968000054359436},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4796999990940094},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.47690001130104065},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.4372999966144562},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.37209999561309814},{"id":"https://openalex.org/C93361087","wikidata":"https://www.wikidata.org/wiki/Q4426698","display_name":"Data consistency","level":2,"score":0.35910001397132874},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.34040001034736633},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3398999869823456},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3133000135421753},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.30410000681877136},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2930000126361847},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.2662000060081482},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.26429998874664307},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2556999921798706},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.25529998540878296},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.2547000050544739},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.13425","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.13425","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.2604.13425","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.13425","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Video":[0],"chroma-lux":[1],"editing,":[2],"which":[3],"aims":[4],"to":[5,71,92,133],"modify":[6],"illumination":[7],"and":[8,13,55,78,115,127,144],"color":[9,54,146],"while":[10],"preserving":[11],"structural":[12,113],"temporal":[14,116],"fidelity,":[15],"remains":[16],"a":[17,36,62,88,106,130],"significant":[18],"challenge.":[19],"Existing":[20],"methods":[21],"typically":[22],"rely":[23],"on":[24],"expensive":[25],"supervised":[26],"training":[27,125],"with":[28,157],"synthetic":[29],"paired":[30],"data.":[31],"This":[32],"paper":[33],"proposes":[34],"VibeFlow,":[35],"novel":[37],"self-supervised":[38,89],"framework":[39,119],"that":[40,67,151],"unleashes":[41],"the":[42,69,121],"intrinsic":[43],"physical":[44],"understanding":[45],"of":[46,52],"pre-trained":[47],"video":[48,137],"generation":[49],"models.":[50],"Instead":[51],"learning":[53],"light":[56],"transitions":[57],"from":[58,75,81],"scratch,":[59],"we":[60,100],"introduce":[61,101],"disentangled":[63],"data":[64],"perturbation":[65],"pipeline":[66],"enforces":[68],"model":[70],"adaptively":[72],"recombine":[73],"structure":[74],"source":[76],"videos":[77],"color-illumination":[79],"cues":[80],"reference":[82],"images,":[83],"enabling":[84],"robust":[85],"disentanglement":[86],"in":[87,97,129],"manner.":[90],"Furthermore,":[91],"rectify":[93],"discretization":[94],"errors":[95],"inherent":[96],"flow-based":[98],"models,":[99],"Residual":[102],"Velocity":[103],"Fields":[104],"alongside":[105],"Structural":[107],"Distortion":[108],"Consistency":[109],"Regularization,":[110],"ensuring":[111],"rigorous":[112],"preservation":[114],"coherence.":[117],"Our":[118,162],"eliminates":[120],"need":[122],"for":[123],"costly":[124],"resources":[126],"generalizes":[128],"zero-shot":[131],"manner":[132],"diverse":[134],"applications,":[135],"including":[136],"relighting,":[138],"recoloring,":[139],"low-light":[140],"enhancement,":[141],"day-night":[142],"translation,":[143],"object-specific":[145],"editing.":[147],"Extensive":[148],"experiments":[149],"demonstrate":[150],"VibeFlow":[152],"achieves":[153],"impressive":[154],"visual":[155],"quality":[156],"significantly":[158],"reduced":[159],"computational":[160],"overhead.":[161],"project":[163],"is":[164],"publicly":[165],"available":[166],"at":[167],"https://lyf1212.github.io/VibeFlow-webpage.":[168]},"counts_by_year":[],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2026-04-17T00:00:00"}