{"id":"https://openalex.org/W4413978666","doi":"https://doi.org/10.1109/iccp64821.2025.11143848","title":"Exposure-Limited Image Enhancement with Generative Diffusion Prior","display_name":"Exposure-Limited Image Enhancement with Generative Diffusion Prior","publication_year":2025,"publication_date":"2025-07-21","ids":{"openalex":"https://openalex.org/W4413978666","doi":"https://doi.org/10.1109/iccp64821.2025.11143848"},"language":"en","primary_location":{"id":"doi:10.1109/iccp64821.2025.11143848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp64821.2025.11143848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Computational Photography (ICCP)","raw_type":"proceedings-article"},"type":"article","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/A5041420007","display_name":"Baiang Li","orcid":"https://orcid.org/0009-0005-3844-2554"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Baiang Li","raw_affiliation_strings":["Hefei University of Technology,Hefei,China,230601"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology,Hefei,China,230601","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012439960","display_name":"Sizhuo Ma","orcid":"https://orcid.org/0000-0003-0092-9744"},"institutions":[{"id":"https://openalex.org/I4210142583","display_name":"Snap (United States)","ror":"https://ror.org/04dgkhg68","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142583"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sizhuo Ma","raw_affiliation_strings":["Snap Research, Snap Inc.,New York,NY,USA,10036"],"affiliations":[{"raw_affiliation_string":"Snap Research, Snap Inc.,New York,NY,USA,10036","institution_ids":["https://openalex.org/I4210142583"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101629056","display_name":"Yanhong Zeng","orcid":"https://orcid.org/0000-0003-3596-5163"},"institutions":[{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanhong Zeng","raw_affiliation_strings":["Shanghai AI Laboratory,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai AI Laboratory,Shanghai,China","institution_ids":["https://openalex.org/I4391012619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032067104","display_name":"Xiaogang Xu","orcid":"https://orcid.org/0000-0002-7928-7336"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaogang Xu","raw_affiliation_strings":["The Chinese University of Hong Kong,Hong Kong,China,100871"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,Hong Kong,China,100871","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104169050","display_name":"Youqing Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youqing Fang","raw_affiliation_strings":["Shanghai AI Laboratory,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai AI Laboratory,Shanghai,China","institution_ids":["https://openalex.org/I4391012619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100423029","display_name":"Zhao Zhang","orcid":"https://orcid.org/0000-0002-5703-7969"},"institutions":[{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Zhang","raw_affiliation_strings":["Shanghai AI Laboratory,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai AI Laboratory,Shanghai,China","institution_ids":["https://openalex.org/I4391012619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066719472","display_name":"Jian Wang","orcid":"https://orcid.org/0000-0001-9729-6052"},"institutions":[{"id":"https://openalex.org/I4210142583","display_name":"Snap (United States)","ror":"https://ror.org/04dgkhg68","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142583"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Wang","raw_affiliation_strings":["Snap Research, Snap Inc.,New York,NY,USA,10036"],"affiliations":[{"raw_affiliation_string":"Snap Research, Snap Inc.,New York,NY,USA,10036","institution_ids":["https://openalex.org/I4210142583"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100438011","display_name":"Kai Chen","orcid":"https://orcid.org/0009-0001-1321-5217"},"institutions":[{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Chen","raw_affiliation_strings":["Shanghai AI Laboratory,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai AI Laboratory,Shanghai,China","institution_ids":["https://openalex.org/I4391012619"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5041420007"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2879846,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9896000027656555,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9896000027656555,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9868999719619751,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9771000146865845,"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/diffusion","display_name":"Diffusion","score":0.56853187084198},{"id":"https://openalex.org/keywords/image-enhancement","display_name":"Image enhancement","score":0.5151097178459167},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.512930154800415},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5093191862106323},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.48137810826301575},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47151103615760803},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4480932354927063},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13705173134803772}],"concepts":[{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.56853187084198},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.5151097178459167},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.512930154800415},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5093191862106323},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.48137810826301575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47151103615760803},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4480932354927063},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13705173134803772},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccp64821.2025.11143848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp64821.2025.11143848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Computational Photography (ICCP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1982471090","https://openalex.org/W2058333183","https://openalex.org/W2069281566","https://openalex.org/W2102166818","https://openalex.org/W2119565138","https://openalex.org/W2121900453","https://openalex.org/W2133665775","https://openalex.org/W2254039850","https://openalex.org/W2732026016","https://openalex.org/W2766497195","https://openalex.org/W2768814045","https://openalex.org/W2769930525","https://openalex.org/W2783573276","https://openalex.org/W2948978827","https://openalex.org/W2962785568","https://openalex.org/W2970103540","https://openalex.org/W3024380564","https://openalex.org/W3034628923","https://openalex.org/W3035731588","https://openalex.org/W3109016160","https://openalex.org/W3176234575","https://openalex.org/W3183401488","https://openalex.org/W3207918547","https://openalex.org/W3214264009","https://openalex.org/W4224267514","https://openalex.org/W4225672218","https://openalex.org/W4312249431","https://openalex.org/W4312497550","https://openalex.org/W4312574643","https://openalex.org/W4312926994","https://openalex.org/W4312933868","https://openalex.org/W4313059954","https://openalex.org/W4319299978","https://openalex.org/W4382462760","https://openalex.org/W4386075858","https://openalex.org/W4387969107","https://openalex.org/W4390872095","https://openalex.org/W4390873054","https://openalex.org/W4390873333","https://openalex.org/W4390873447","https://openalex.org/W4402774459"],"related_works":["https://openalex.org/W2380075625","https://openalex.org/W4390718435","https://openalex.org/W4390549206","https://openalex.org/W3137171911","https://openalex.org/W4379540039","https://openalex.org/W4237784285","https://openalex.org/W2949816130","https://openalex.org/W2138806349","https://openalex.org/W4362679294","https://openalex.org/W4375869153"],"abstract_inverted_index":{"Many":[0],"consumer":[1],"cameras":[2],"are":[3,183],"equipped":[4],"with":[5,15,103],"8-bit":[6],"image":[7,54,95,120,212],"sensors,":[8],"which":[9,115,182],"often":[10,72],"struggle":[11],"to":[12,36,74,108,156,173],"capture":[13],"scenes":[14],"a":[16,30,143,157,170,197],"High":[17],"Dynamic":[18,51],"Range":[19,52],"(HDR).":[20],"This":[21],"limitation":[22],"can":[23,193],"result":[24],"in":[25,46,77,176,219],"overexposed":[26,178],"or":[27,89,179],"underexposed":[28,180],"regions,":[29,181],"loss":[31],"of":[32,100,138],"fine":[33],"details":[34,76],"due":[35,107],"low":[37],"bit-depth":[38],"compression,":[39],"skewed":[40],"color":[41,60,65,127,153],"distributions,":[42],"and":[43,67,134,154,214],"noticeable":[44],"noise":[45],"dark":[47],"areas.":[48],"Traditional":[49],"Standard":[50],"(SDR)":[53],"enhancement":[55,202],"methods":[56,122],"typically":[57],"focus":[58],"on":[59],"mapping":[61],"by":[62],"expanding":[63],"the":[64,87,98,112,136,148,165],"range":[66,79,159,221],"adjusting":[68],"brightness.":[69],"However,":[70],"they":[71],"fail":[73],"restore":[75],"dynamic":[78,220],"extremes,":[80],"i.e.":[81],"regions":[82],"where":[83],"pixel":[84],"values":[85],"approach":[86],"minimum":[88],"maximum":[90],"limits.":[91],"We":[92],"define":[93],"\u201cexposure-limited":[94],"enhancement\u201d":[96,121],"as":[97,196],"process":[99],"enhancing":[101],"images":[102,133],"large":[104],"missing":[105],"areas":[106],"exposure":[109],"issues":[110],"within":[111],"SDR":[113],"space,":[114],"differs":[116],"from":[117],"existing":[118,162,201],"\u201cmis-exposed":[119],"primarily":[123],"aimed":[124],"at":[125,227],"correcting":[126],"distributions.":[128],"To":[129],"enhance":[130],"these":[131],"exposure-limited":[132],"overcome":[135],"limitations":[137],"current":[139],"models,":[140],"we":[141,151,168],"propose":[142],"novel":[144],"two-stage":[145],"approach.":[146],"In":[147,164],"first":[149],"stage,":[150,167],"remap":[152],"brightness":[155],"suitable":[158],"while":[160],"preserving":[161],"details.":[163],"second":[166],"use":[169],"diffusion":[171],"prior":[172],"generate":[174],"content":[175],"severely":[177],"otherwise":[184],"lost":[185],"during":[186],"capture.":[187],"Notably,":[188],"this":[189],"generative":[190],"refinement":[191],"module":[192],"also":[194],"serve":[195],"plug-and-play":[198],"component":[199],"alongside":[200],"methods.":[203],"Extensive":[204],"experiments":[205],"demonstrate":[206],"that":[207],"our":[208],"method":[209],"significantly":[210],"improves":[211],"quality":[213],"detail,":[215],"outperforming":[216],"state-of-the-art":[217],"techniques":[218],"extremes.":[222],"The":[223],"project":[224],"page":[225],"is":[226],"https://Sagiri0208.github.io.":[228]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
