{"id":"https://openalex.org/W3166046047","doi":"https://doi.org/10.1109/tmm.2021.3087034","title":"Deep Arbitrary HDRI: Inverse Tone Mapping With Controllable Exposure Changes","display_name":"Deep Arbitrary HDRI: Inverse Tone Mapping With Controllable Exposure Changes","publication_year":2021,"publication_date":"2021-06-08","ids":{"openalex":"https://openalex.org/W3166046047","doi":"https://doi.org/10.1109/tmm.2021.3087034","mag":"3166046047"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2021.3087034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3087034","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-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/A5059373387","display_name":"So Yeon Jo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131320","display_name":"LG (South Korea)","ror":"https://ror.org/03ddh2c27","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210131320"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"So Yeon Jo","raw_affiliation_strings":["LG Uplus, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"LG Uplus, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4210131320"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034134004","display_name":"Siyeong Lee","orcid":"https://orcid.org/0000-0002-5165-1335"},"institutions":[{"id":"https://openalex.org/I60922564","display_name":"Naver (South Korea)","ror":"https://ror.org/04nzrnx83","country_code":"KR","type":"company","lineage":["https://openalex.org/I60922564"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Siyeong Lee","raw_affiliation_strings":["NAVER LABS, Seongnam-si, Gyeonggi-do, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"NAVER LABS, Seongnam-si, Gyeonggi-do, Republic of Korea","institution_ids":["https://openalex.org/I60922564"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054474440","display_name":"Namhyun Ahn","orcid":"https://orcid.org/0000-0002-9240-3039"},"institutions":[{"id":"https://openalex.org/I148751991","display_name":"Sogang University","ror":"https://ror.org/056tn4839","country_code":"KR","type":"education","lineage":["https://openalex.org/I148751991"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Namhyun Ahn","raw_affiliation_strings":["Vision and Display Systems Laboratory for Electronic Engineering, Sogang University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Vision and Display Systems Laboratory for Electronic Engineering, Sogang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I148751991"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084904773","display_name":"Suk\u2010Ju Kang","orcid":"https://orcid.org/0000-0002-4809-956X"},"institutions":[{"id":"https://openalex.org/I148751991","display_name":"Sogang University","ror":"https://ror.org/056tn4839","country_code":"KR","type":"education","lineage":["https://openalex.org/I148751991"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Suk-Ju Kang","raw_affiliation_strings":["Vision and Display Systems Laboratory for Electronic Engineering, Sogang University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Vision and Display Systems Laboratory for Electronic Engineering, Sogang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I148751991"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5059373387"],"corresponding_institution_ids":["https://openalex.org/I4210131320"],"apc_list":null,"apc_paid":null,"fwci":0.7751,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.73322637,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"24","issue":null,"first_page":"2713","last_page":"2726"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement 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/T11019","display_name":"Image Enhancement 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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9980999827384949,"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":0.9979000091552734,"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/computer-science","display_name":"Computer science","score":0.7489172220230103},{"id":"https://openalex.org/keywords/tone-mapping","display_name":"Tone mapping","score":0.6644035577774048},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6271048188209534},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.5996300578117371},{"id":"https://openalex.org/keywords/high-dynamic-range-imaging","display_name":"High-dynamic-range imaging","score":0.5939225554466248},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5391135215759277},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5299813747406006},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4367954134941101},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.42561501264572144},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.394872784614563},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3649970293045044},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34170544147491455}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7489172220230103},{"id":"https://openalex.org/C8641274","wikidata":"https://www.wikidata.org/wiki/Q1030958","display_name":"Tone mapping","level":4,"score":0.6644035577774048},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6271048188209534},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.5996300578117371},{"id":"https://openalex.org/C2781399445","wikidata":"https://www.wikidata.org/wiki/Q309254","display_name":"High-dynamic-range imaging","level":4,"score":0.5939225554466248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5391135215759277},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5299813747406006},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4367954134941101},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.42561501264572144},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.394872784614563},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3649970293045044},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34170544147491455},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2021.3087034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3087034","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4099999964237213}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1580389772","https://openalex.org/W1901129140","https://openalex.org/W1921523184","https://openalex.org/W1959608418","https://openalex.org/W1965557220","https://openalex.org/W2000058449","https://openalex.org/W2001868068","https://openalex.org/W2008675431","https://openalex.org/W2042851294","https://openalex.org/W2063069461","https://openalex.org/W2100495367","https://openalex.org/W2130700878","https://openalex.org/W2133665775","https://openalex.org/W2141123017","https://openalex.org/W2194775991","https://openalex.org/W2240434622","https://openalex.org/W2240650900","https://openalex.org/W2396233508","https://openalex.org/W2479728907","https://openalex.org/W2557449848","https://openalex.org/W2562637781","https://openalex.org/W2593414223","https://openalex.org/W2604608390","https://openalex.org/W2766497195","https://openalex.org/W2768814045","https://openalex.org/W2769930525","https://openalex.org/W2784446449","https://openalex.org/W2891158090","https://openalex.org/W2894939846","https://openalex.org/W2912126472","https://openalex.org/W2962974533","https://openalex.org/W2963073614","https://openalex.org/W2963420272","https://openalex.org/W2963426391","https://openalex.org/W2963470893","https://openalex.org/W2963882477","https://openalex.org/W2964076515","https://openalex.org/W2964212750","https://openalex.org/W2964216930","https://openalex.org/W3006538026","https://openalex.org/W3034628923","https://openalex.org/W3046945496","https://openalex.org/W3098418424","https://openalex.org/W3122099796","https://openalex.org/W3138218344","https://openalex.org/W3139527458","https://openalex.org/W4236229596","https://openalex.org/W4251444399","https://openalex.org/W4252016199","https://openalex.org/W4256031193","https://openalex.org/W6621378261","https://openalex.org/W6629356436","https://openalex.org/W6631190155","https://openalex.org/W6638667902","https://openalex.org/W6640185926","https://openalex.org/W6640963894","https://openalex.org/W6678815747","https://openalex.org/W6687045409","https://openalex.org/W6713645886","https://openalex.org/W6718140377","https://openalex.org/W6729482032"],"related_works":["https://openalex.org/W2884377208","https://openalex.org/W2014689642","https://openalex.org/W2162796060","https://openalex.org/W1939253538","https://openalex.org/W1993867686","https://openalex.org/W2737661967","https://openalex.org/W2008321379","https://openalex.org/W2028994033","https://openalex.org/W2065738242","https://openalex.org/W2011744347"],"abstract_inverted_index":{"Deep":[0],"convolutional":[1],"neural":[2],"networks":[3,160],"(CNNs)":[4],"have":[5,114],"recently":[6],"made":[7],"significant":[8],"advances":[9],"in":[10,36,51,234],"the":[11,48,60,119,127,169,179,183,197,210,215,222,235,240,243,250],"inverse":[12,43],"tone":[13,44],"mapping":[14,45],"technique,":[15],"which":[16],"generates":[17],"a":[18,25,69,107,148,190,257,264,271,280],"high":[19,223],"dynamic":[20,28,49,55,83],"range":[21,29,50,56,84],"(HDR)":[22],"image":[23,31,72,80,180,206],"from":[24,68],"single":[26,70],"low":[27],"(LDR)":[30],"that":[32,113,152,202,249],"has":[33],"lost":[34],"information":[35],"over-":[37],"and":[38,73,132,279],"under-exposed":[39],"regions.":[40],"The":[41,165,186],"end-to-end":[42],"approach":[46],"specifies":[47],"advance,":[52],"thereby":[53],"limiting":[54],"expansion.":[57,85],"In":[58],"contrast,":[59],"method":[61,167,252],"of":[62,109,121,129,168,199,214,221,242],"generating":[63,90],"multiple":[64,91],"exposure":[65,92,101,116,156],"LDR":[66,71,93],"images":[67,94,112],"subsequently":[74],"merging":[75],"them":[76],"into":[77],"an":[78,96,133],"HDR":[79],"enables":[81],"flexible":[82],"However,":[86],"existing":[87,200],"methods":[88,201],"for":[89,99,285],"require":[95],"additional":[97,130],"network":[98,150,173,188],"each":[100,232],"value":[102],"to":[103,126,139,177,195,209,231,239],"be":[104],"changed":[105],"or":[106,161],"process":[108],"recursively":[110],"inferring":[111],"different":[115,228],"values.":[117],"Therefore,":[118],"number":[120],"parameters":[122,230],"increases":[123],"significantly":[124],"due":[125,138,208],"use":[128],"networks,":[131],"error":[134],"accumulation":[135],"problem":[136],"arises":[137],"recursive":[140,163],"inference.":[141,164],"To":[142],"solve":[143],"this":[144],"problem,":[145],"we":[146],"propose":[147],"novel":[149],"architecture":[151],"can":[153],"control":[154],"arbitrary":[155],"values":[157],"without":[158],"adding":[159],"applying":[162,227],"training":[166],"auxiliary":[170],"classifier-generative":[171],"adversarial":[172],"structure":[174,268,276],"is":[175],"employed":[176],"generate":[178],"conditioned":[181],"on":[182],"specified":[184],"exposure.":[185],"proposed":[187,251],"uses":[189],"newly":[191],"designed":[192],"spatially-adaptive":[193],"normalization":[194,218,229],"address":[196],"limitation":[198],"cannot":[203],"sufficiently":[204],"restore":[205],"detail":[207],"spatially":[211],"equivariant":[212],"nature":[213],"convolution.":[216],"Spatially-adaptive":[217],"facilitates":[219],"restoration":[220],"frequency":[224],"component":[225],"by":[226],"element":[233],"feature":[236],"map":[237],"according":[238],"characteristics":[241],"input":[244],"image.":[245],"Experimental":[246],"results":[247],"show":[248],"outperforms":[253],"state-of-the-art":[254],"methods,":[255],"yielding":[256],"5.48dB":[258],"higher":[259,266,273,282],"average":[260,267,274,283],"peak":[261],"signal-to-noise":[262],"ratio,":[263],"0.05":[265],"similarity":[269,277],"index,":[270,278],"0.28":[272],"multi-scale":[275],"7.36":[281],"HDR-VDP-2":[284],"various":[286],"datasets.":[287]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}