{"id":"https://openalex.org/W4319299978","doi":"https://doi.org/10.1109/wacv56688.2023.00405","title":"Single-Image HDR Reconstruction by Multi-Exposure Generation","display_name":"Single-Image HDR Reconstruction by Multi-Exposure Generation","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4319299978","doi":"https://doi.org/10.1109/wacv56688.2023.00405"},"language":"en","primary_location":{"id":"doi:10.1109/wacv56688.2023.00405","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv56688.2023.00405","pdf_url":null,"source":{"id":"https://openalex.org/S4363607736","display_name":"2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5030165387","display_name":"Phuoc-Hieu Le","orcid":"https://orcid.org/0009-0002-4418-481X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Phuoc-Hieu Le","raw_affiliation_strings":["VinAI Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VinAI Research","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013860869","display_name":"Quynh\u2010Thu Le","orcid":"https://orcid.org/0000-0002-3682-1439"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Quynh Le","raw_affiliation_strings":["VinAI Research","University of California San Diego"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VinAI Research","institution_ids":[]},{"raw_affiliation_string":"University of California San Diego","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086226516","display_name":"Rang Nguyen","orcid":"https://orcid.org/0000-0001-7754-5576"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rang Nguyen","raw_affiliation_strings":["VinAI Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VinAI Research","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028533837","display_name":"Binh\u2010Son Hua","orcid":"https://orcid.org/0000-0002-5706-8634"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Binh-Son Hua","raw_affiliation_strings":["VinAI Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VinAI Research","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.6427,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.96236133,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"4052","last_page":"4061"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994000196456909,"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":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8068178296089172},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.772891104221344},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7698389291763306},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.7191729545593262},{"id":"https://openalex.org/keywords/ghosting","display_name":"Ghosting","score":0.6269940137863159},{"id":"https://openalex.org/keywords/hallucinating","display_name":"Hallucinating","score":0.6021854281425476},{"id":"https://openalex.org/keywords/high-dynamic-range-imaging","display_name":"High-dynamic-range imaging","score":0.5594009757041931},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5097975134849548},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5005192756652832},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.20397421717643738}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8068178296089172},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.772891104221344},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7698389291763306},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.7191729545593262},{"id":"https://openalex.org/C2780531524","wikidata":"https://www.wikidata.org/wiki/Q551540","display_name":"Ghosting","level":2,"score":0.6269940137863159},{"id":"https://openalex.org/C2911011789","wikidata":"https://www.wikidata.org/wiki/Q130741","display_name":"Hallucinating","level":2,"score":0.6021854281425476},{"id":"https://openalex.org/C2781399445","wikidata":"https://www.wikidata.org/wiki/Q309254","display_name":"High-dynamic-range imaging","level":4,"score":0.5594009757041931},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5097975134849548},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5005192756652832},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.20397421717643738}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv56688.2023.00405","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv56688.2023.00405","pdf_url":null,"source":{"id":"https://openalex.org/S4363607736","display_name":"2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6100000143051147,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1976689962","https://openalex.org/W1995813543","https://openalex.org/W1997746542","https://openalex.org/W1998393535","https://openalex.org/W2054927225","https://openalex.org/W2055745001","https://openalex.org/W2096099694","https://openalex.org/W2103559027","https://openalex.org/W2119565138","https://openalex.org/W2125389028","https://openalex.org/W2143736264","https://openalex.org/W2304846792","https://openalex.org/W2465552163","https://openalex.org/W2552290192","https://openalex.org/W2562637781","https://openalex.org/W2736611505","https://openalex.org/W2766497195","https://openalex.org/W2769930525","https://openalex.org/W2784446449","https://openalex.org/W2883566908","https://openalex.org/W2894939846","https://openalex.org/W2904473683","https://openalex.org/W2952323569","https://openalex.org/W2954591474","https://openalex.org/W2962785568","https://openalex.org/W2963530785","https://openalex.org/W2963629411","https://openalex.org/W2964076515","https://openalex.org/W3003886262","https://openalex.org/W3006487162","https://openalex.org/W3024380564","https://openalex.org/W3034504121","https://openalex.org/W3034628923","https://openalex.org/W3040184427","https://openalex.org/W3046945496","https://openalex.org/W3106019615","https://openalex.org/W3108109496","https://openalex.org/W3121214277","https://openalex.org/W3122099796","https://openalex.org/W3127430853","https://openalex.org/W3137432642","https://openalex.org/W4236229596","https://openalex.org/W4252179328","https://openalex.org/W4295312788","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6678815747","https://openalex.org/W6752825758","https://openalex.org/W6754673022","https://openalex.org/W6756959374","https://openalex.org/W6766978945","https://openalex.org/W6786213788","https://openalex.org/W6790722915"],"related_works":["https://openalex.org/W2752194433","https://openalex.org/W2110285966","https://openalex.org/W2010511520","https://openalex.org/W3084124739","https://openalex.org/W4386065615","https://openalex.org/W4366340752","https://openalex.org/W2100637129","https://openalex.org/W2889932574","https://openalex.org/W4324321796","https://openalex.org/W4221066067"],"abstract_inverted_index":{"High":[0],"dynamic":[1],"range":[2],"(HDR)":[3],"imaging":[4],"is":[5,206],"an":[6],"indispensable":[7],"technique":[8],"in":[9,44,133],"modern":[10],"photography.":[11],"Traditional":[12],"methods":[13],"focus":[14],"on":[15,160,200],"HDR":[16,51,82,102,172,186],"reconstruction":[17,52,103,153],"from":[18,110,138],"multiple":[19,108,128],"images,":[20],"solving":[21],"the":[22,45,73,96,119,145,201],"core":[23],"problems":[24],"of":[25,162],"image":[26,98],"alignment,":[27],"fusion,":[28],"and":[29,40,130,135,155,164,167,190],"tone":[30],"mapping,":[31],"yet":[32,77],"having":[33],"a":[34,54,67,80,89,111,139,149,152,156],"perfect":[35],"solution":[36],"due":[37],"to":[38,59,63,106,122],"ghosting":[39],"other":[41],"visual":[42],"artifacts":[43],"reconstruction.":[46],"Recent":[47],"attempts":[48],"at":[49,208],"single-image":[50],"show":[53,178,193],"promising":[55],"alternative:":[56],"by":[57],"learning":[58,92,105],"map":[60],"pixel":[61,124],"values":[62],"their":[64],"irradiance":[65,125],"using":[66],"neural":[68,115],"network,":[69,146],"one":[70],"can":[71,117,183],"bypass":[72],"align-and-merge":[74],"pipeline":[75],"completely":[76],"still":[78],"obtain":[79],"high-quality":[81],"image.":[83,113,142],"In":[84],"this":[85],"work,":[86],"we":[87,147],"propose":[88,148],"weakly":[90],"supervised":[91],"method":[93,196],"that":[94,179,194],"inverts":[95],"physical":[97],"formation":[99],"process":[100],"for":[101,174],"via":[104],"generate":[107],"exposures":[109,129],"single":[112,140],"Our":[114,176,188,204],"network":[116],"invert":[118],"camera":[120],"response":[121],"reconstruct":[123,185],"before":[126],"synthesizing":[127],"hallucinating":[131],"details":[132],"under-":[134,163],"over-exposed":[136],"regions":[137],"input":[141],"To":[143],"train":[144],"representation":[150],"loss,":[151,154],"perceptual":[157],"loss":[158],"applied":[159],"pairs":[161],"over-exposure":[165],"images":[166,173],"thus":[168],"do":[169],"not":[170],"require":[171],"training.":[175],"experiments":[177],"our":[180,195],"proposed":[181],"model":[182],"effectively":[184],"images.":[187],"qualitative":[189],"quantitative":[191],"results":[192],"achieves":[197],"state-of-the-art":[198],"performance":[199],"DrTMO":[202],"dataset.":[203],"code":[205],"available":[207],"https://github.com/VinAIResearch/single_image_hdr.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":6}],"updated_date":"2026-08-09T07:27:16.801131","created_date":"2025-10-10T00:00:00"}
