{"id":"https://openalex.org/W7163866327","doi":"https://doi.org/10.48550/arxiv.2606.06901","title":"LUCID: Learning Unified Control for Image Deflaring and Exposure Mastery in Nighttime Photography","display_name":"LUCID: Learning Unified Control for Image Deflaring and Exposure Mastery in Nighttime Photography","publication_year":2026,"publication_date":"2026-06-05","ids":{"openalex":"https://openalex.org/W7163866327","doi":"https://doi.org/10.48550/arxiv.2606.06901"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.06901","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.06901","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.06901","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043052498","display_name":"Tingyu Yang","orcid":"https://orcid.org/0000-0002-6295-3611"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Tingyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138193734","display_name":"Yuan Cheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng, Yuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138180523","display_name":"Xiaoyun Yuan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuan, Xiaoyun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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/T11019","display_name":"Image Enhancement Techniques","score":0.92330002784729,"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":0.92330002784729,"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":0.019099999219179153,"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"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.007400000002235174,"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/photography","display_name":"Photography","score":0.670799970626831},{"id":"https://openalex.org/keywords/controllability","display_name":"Controllability","score":0.5875999927520752},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5655999779701233},{"id":"https://openalex.org/keywords/ghosting","display_name":"Ghosting","score":0.5536999702453613},{"id":"https://openalex.org/keywords/computational-photography","display_name":"Computational photography","score":0.4896000027656555},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.4560999870300293},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.45559999346733093},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.44679999351501465}],"concepts":[{"id":"https://openalex.org/C119657128","wikidata":"https://www.wikidata.org/wiki/Q11633","display_name":"Photography","level":2,"score":0.670799970626831},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6636000275611877},{"id":"https://openalex.org/C48209547","wikidata":"https://www.wikidata.org/wiki/Q1331104","display_name":"Controllability","level":2,"score":0.5875999927520752},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5655999779701233},{"id":"https://openalex.org/C2780531524","wikidata":"https://www.wikidata.org/wiki/Q551540","display_name":"Ghosting","level":2,"score":0.5536999702453613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5388000011444092},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.491100013256073},{"id":"https://openalex.org/C146044194","wikidata":"https://www.wikidata.org/wiki/Q5157334","display_name":"Computational photography","level":4,"score":0.4896000027656555},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.4560999870300293},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.45559999346733093},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.44679999351501465},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4027999937534332},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.3944999873638153},{"id":"https://openalex.org/C2779484884","wikidata":"https://www.wikidata.org/wiki/Q601413","display_name":"Darkroom","level":2,"score":0.3862999975681305},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.3434000015258789},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33719998598098755},{"id":"https://openalex.org/C133214962","wikidata":"https://www.wikidata.org/wiki/Q191839","display_name":"Aerial photography","level":2,"score":0.29660001397132874},{"id":"https://openalex.org/C36299963","wikidata":"https://www.wikidata.org/wiki/Q1369844","display_name":"Observability","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C2781399445","wikidata":"https://www.wikidata.org/wiki/Q309254","display_name":"High-dynamic-range imaging","level":4,"score":0.2800000011920929},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.27309998869895935},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.2524999976158142}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.06901","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.06901","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.06901","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.06901","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7594998478889465,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Photography":[0],"is":[1],"the":[2,35,82,121],"art":[3],"of":[4,84],"painting":[5],"with":[6],"light,":[7],"yet":[8],"nighttime":[9,55,70,166],"scenes":[10],"are":[11,40],"shaped":[12],"by":[13],"competing":[14],"degradations:":[15],"intense":[16],"flares":[17],"obscure":[18],"scene":[19],"structure,":[20],"while":[21,142],"photon-limited":[22],"regions":[23],"collapse":[24],"into":[25,72],"noise.":[26],"Conventional":[27],"approaches":[28],"address":[29],"these":[30,38],"factors":[31],"in":[32],"isolation,":[33],"overlooking":[34],"fact":[36],"that":[37,53,80,96,157],"degradations":[39],"fundamentally":[41],"entangled.":[42],"To":[43],"bridge":[44],"this":[45],"gap,":[46],"we":[47],"introduce":[48],"LUCID,":[49],"a":[50,58,65,76,93,112],"unified":[51],"framework":[52],"reframes":[54],"restoration":[56,71,122],"as":[57],"continuous":[59,151],"and":[60,92,103,128,135,139],"controllable":[61],"process":[62,123],"rather":[63],"than":[64],"fixed":[66],"correction.":[67],"We":[68],"decompose":[69],"two":[73],"cooperative":[74],"components:":[75],"flare":[77,138],"disentanglement":[78],"module":[79,95],"lifts":[81],"'curtain'":[83],"optical":[85],"artifacts":[86],"to":[87,100,119],"provide":[88],"reliable":[89],"structural":[90],"guidance,":[91],"diffusion-driven":[94],"leverages":[97],"generative":[98],"priors":[99],"reconstruct":[101],"clean":[102],"well-exposed":[104],"imagery.":[105],"Crucially,":[106],"LUCID":[107,158],"introduces":[108],"explicit":[109],"controllability":[110],"through":[111,150],"novel":[113],"four-mode":[114],"training":[115],"strategy,":[116],"enabling":[117],"users":[118],"steer":[120],"via":[124],"classifier-free":[125],"guidance":[126],"(CFG)":[127],"allowing":[129],"selective":[130],"control":[131],"over":[132],"light":[133],"sources":[134],"their":[136],"associated":[137],"ghosting":[140],"artifacts,":[141],"also":[143],"supporting":[144],"high":[145],"dynamic":[146],"range":[147],"(HDR)":[148],"reconstruction":[149],"exposure":[152],"control.":[153],"Extensive":[154],"experiments":[155],"demonstrate":[156],"consistently":[159],"outperforms":[160],"state-of-the-art":[161],"methods":[162],"across":[163],"diverse":[164],"real-world":[165],"scenarios.":[167]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-09T00:00:00"}