{"id":"https://openalex.org/W3006470152","doi":"https://doi.org/10.1109/tvcg.2020.2973050","title":"Physically-inspired Deep Light Estimation from a Homogeneous-Material Object for Mixed Reality Lighting","display_name":"Physically-inspired Deep Light Estimation from a Homogeneous-Material Object for Mixed Reality Lighting","publication_year":2020,"publication_date":"2020-02-13","ids":{"openalex":"https://openalex.org/W3006470152","doi":"https://doi.org/10.1109/tvcg.2020.2973050","mag":"3006470152","pmid":"https://pubmed.ncbi.nlm.nih.gov/32070961"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2020.2973050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2020.2973050","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"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 Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100330088","display_name":"Jinwoo Park","orcid":"https://orcid.org/0000-0002-5786-9079"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinwoo Park","raw_affiliation_strings":["KAIST UVR Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST UVR Lab","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086531568","display_name":"Hunmin Park","orcid":"https://orcid.org/0009-0006-9276-9627"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]},{"id":"https://openalex.org/I4210099236","display_name":"Kootenay Association for Science & Technology","ror":"https://ror.org/011pv9p44","country_code":"CA","type":"nonprofit","lineage":["https://openalex.org/I4210099236"]}],"countries":["CA","KR"],"is_corresponding":false,"raw_author_name":"Hunmin Park","raw_affiliation_strings":["KAIST"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST","institution_ids":["https://openalex.org/I4210099236","https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078173428","display_name":"Sung\u2010Eui Yoon","orcid":"https://orcid.org/0000-0002-7123-1119"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]},{"id":"https://openalex.org/I4210099236","display_name":"Kootenay Association for Science & Technology","ror":"https://ror.org/011pv9p44","country_code":"CA","type":"nonprofit","lineage":["https://openalex.org/I4210099236"]}],"countries":["CA","KR"],"is_corresponding":false,"raw_author_name":"Sung-Eui Yoon","raw_affiliation_strings":["KAIST"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST","institution_ids":["https://openalex.org/I4210099236","https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023177829","display_name":"Woontack Woo","orcid":"https://orcid.org/0000-0002-5501-4421"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Woontack Woo","raw_affiliation_strings":["KAIST UVR Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST UVR Lab","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.008,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.98432825,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"26","issue":"5","first_page":"2002","last_page":"2011"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9994999766349792,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9991999864578247,"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":0.9987999796867371,"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":0.8501012325286865},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.8299757242202759},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7813326120376587},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7497085332870483},{"id":"https://openalex.org/keywords/image-based-lighting","display_name":"Image-based lighting","score":0.6055220365524292},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.5850277543067932},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5467807054519653},{"id":"https://openalex.org/keywords/global-illumination","display_name":"Global illumination","score":0.5174849033355713},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.47856906056404114},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4631153643131256},{"id":"https://openalex.org/keywords/mixed-reality","display_name":"Mixed reality","score":0.4543239176273346},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44806021451950073},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.4399428367614746},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42619985342025757},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.4186728000640869},{"id":"https://openalex.org/keywords/image-based-modeling-and-rendering","display_name":"Image-based modeling and rendering","score":0.3377848267555237},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.145002543926239},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08514398336410522}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8501012325286865},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.8299757242202759},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7813326120376587},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7497085332870483},{"id":"https://openalex.org/C204060014","wikidata":"https://www.wikidata.org/wiki/Q6002069","display_name":"Image-based lighting","level":4,"score":0.6055220365524292},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.5850277543067932},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5467807054519653},{"id":"https://openalex.org/C89720835","wikidata":"https://www.wikidata.org/wiki/Q1531701","display_name":"Global illumination","level":3,"score":0.5174849033355713},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.47856906056404114},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4631153643131256},{"id":"https://openalex.org/C206776904","wikidata":"https://www.wikidata.org/wiki/Q1758389","display_name":"Mixed reality","level":3,"score":0.4543239176273346},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44806021451950073},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.4399428367614746},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42619985342025757},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.4186728000640869},{"id":"https://openalex.org/C44185422","wikidata":"https://www.wikidata.org/wiki/Q6002064","display_name":"Image-based modeling and rendering","level":3,"score":0.3377848267555237},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.145002543926239},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08514398336410522},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvcg.2020.2973050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2020.2973050","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"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 Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:32070961","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32070961","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on visualization and computer graphics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7099999785423279,"display_name":"Sustainable cities and communities"}],"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":53,"referenced_works":["https://openalex.org/W95577512","https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W1985401665","https://openalex.org/W2003537776","https://openalex.org/W2040160828","https://openalex.org/W2043470575","https://openalex.org/W2050866939","https://openalex.org/W2057842555","https://openalex.org/W2096099694","https://openalex.org/W2104587129","https://openalex.org/W2117751343","https://openalex.org/W2122718063","https://openalex.org/W2124964692","https://openalex.org/W2125313965","https://openalex.org/W2138624212","https://openalex.org/W2141200610","https://openalex.org/W2144668673","https://openalex.org/W2154079153","https://openalex.org/W2155893237","https://openalex.org/W2161446118","https://openalex.org/W2163605009","https://openalex.org/W2164369380","https://openalex.org/W2182882837","https://openalex.org/W2184545030","https://openalex.org/W2194775991","https://openalex.org/W2272752931","https://openalex.org/W2288223183","https://openalex.org/W2324727884","https://openalex.org/W2412782625","https://openalex.org/W2554856610","https://openalex.org/W2561682780","https://openalex.org/W2564671633","https://openalex.org/W2605060370","https://openalex.org/W2732907087","https://openalex.org/W2737371824","https://openalex.org/W2741645903","https://openalex.org/W2748157832","https://openalex.org/W2766497195","https://openalex.org/W2798567105","https://openalex.org/W2807141917","https://openalex.org/W2944553222","https://openalex.org/W2950094539","https://openalex.org/W2964121744","https://openalex.org/W3122099796","https://openalex.org/W4232290346","https://openalex.org/W4233070305","https://openalex.org/W6639824700","https://openalex.org/W6661168728","https://openalex.org/W6677428607","https://openalex.org/W6678856934","https://openalex.org/W6684191040","https://openalex.org/W7015048925"],"related_works":["https://openalex.org/W2391354390","https://openalex.org/W2367434614","https://openalex.org/W2099004500","https://openalex.org/W2168687480","https://openalex.org/W4312704232","https://openalex.org/W2202364069","https://openalex.org/W2002777135","https://openalex.org/W1817749143","https://openalex.org/W2003537776","https://openalex.org/W4295308231"],"abstract_inverted_index":{"In":[0],"mixed":[1],"reality":[2],"(MR),":[3],"augmenting":[4],"virtual":[5,190],"objects":[6,191],"consistently":[7],"with":[8,70,83,119],"real-world":[9],"illumination":[10,41,53,110,184],"is":[11],"one":[12],"of":[13,47,54,87,115,123,189,199],"the":[14,158,166,181,197],"key":[15],"factors":[16],"that":[17,65],"provide":[18],"a":[19,30,43,48,55,61,79,84,90,112,120,145,172],"realistic":[20,186],"and":[21,106,126,160,216],"immersive":[22],"user":[23],"experience.":[24],"For":[25],"this":[26,131,200],"purpose,":[27],"we":[28],"propose":[29],"novel":[31],"deep":[32,138],"learning-based":[33],"method":[34,95],"to":[35,108,153],"estimate":[36],"high":[37],"dynamic":[38],"range":[39,122],"(HDR)":[40],"from":[42,78,111],"single":[44,113],"RGB":[45],"image":[46,114],"reference":[49],"object.":[50],"To":[51,128,162],"obtain":[52],"current":[56],"scene,":[57,66],"previous":[58],"approaches":[59],"inserted":[60],"special":[62],"camera":[63],"in":[64,192,214],"which":[67],"may":[68],"interfere":[69],"user's":[71],"immersion,":[72],"or":[73,89,102],"they":[74],"analyzed":[75],"reflected":[76],"radiances":[77],"passive":[80],"light":[81],"probe":[82],"specific":[85],"type":[86],"materials":[88,125],"known":[91],"shape.":[92,161],"The":[93,206],"proposed":[94,167],"does":[96],"not":[97],"require":[98],"any":[99],"additional":[100],"gadgets":[101],"strong":[103],"prior":[104],"cues,":[105],"aims":[107],"predict":[109],"an":[116],"observed":[117],"object":[118],"wide":[121],"homogeneous":[124],"shapes.":[127],"effectively":[129],"solve":[130],"ill-posed":[132],"inverse":[133],"rendering":[134],"problem,":[135],"three":[136],"sequential":[137],"neural":[139],"networks":[140,149,168],"are":[141,169],"employed":[142],"based":[143],"on":[144,157,171],"physically-inspired":[146],"design.":[147],"These":[148],"perform":[150],"end-to-end":[151],"regression":[152],"gradually":[154],"decrease":[155],"dependency":[156],"material":[159],"cover":[163],"various":[164],"conditions,":[165],"trained":[170],"large":[173],"synthetic":[174],"dataset":[175],"generated":[176],"by":[177],"physically-based":[178],"rendering.":[179],"Finally,":[180],"reconstructed":[182],"HDR":[183],"enables":[185],"image-based":[187],"lighting":[188],"MR.":[193],"Experimental":[194],"results":[195],"demonstrate":[196],"effectiveness":[198],"approach":[201],"compared":[202],"against":[203],"state-of-the-art":[204],"methods.":[205],"paper":[207],"also":[208],"suggests":[209],"some":[210],"interesting":[211],"MR":[212],"applications":[213],"indoor":[215],"outdoor":[217],"scenes.":[218]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":6}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}