{"id":"https://openalex.org/W2916153179","doi":"https://doi.org/10.1109/access.2019.2900153","title":"Computational Light Field Generation Using Deep Nonparametric Bayesian Learning","display_name":"Computational Light Field Generation Using Deep Nonparametric Bayesian Learning","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2916153179","doi":"https://doi.org/10.1109/access.2019.2900153","mag":"2916153179"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2900153","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2900153","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08645794.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08645794.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001473276","display_name":"Nan Meng","orcid":"https://orcid.org/0000-0003-2821-7474"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Nan Meng","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0003-2821-7474","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004402130","display_name":"Xing Sun","orcid":"https://orcid.org/0000-0001-8132-9083"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Sun","raw_affiliation_strings":["Tencent, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent, Shanghai, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020581824","display_name":"Hayden Kwok\u2010Hay So","orcid":"https://orcid.org/0000-0002-6514-0237"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hayden K.-H. So","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008832723","display_name":"Edmund Y. Lam","orcid":"https://orcid.org/0000-0001-6268-950X"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Edmund Y. Lam","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.794,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.75985954,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"24990","last_page":"25000"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9972000122070312,"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":0.7750075459480286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7524814605712891},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.628692626953125},{"id":"https://openalex.org/keywords/light-field","display_name":"Light field","score":0.5954815149307251},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5718076825141907},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5358681678771973},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5356936454772949},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5106731057167053},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4682774543762207},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44645440578460693},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.44015809893608093},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41999197006225586},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08764830231666565}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7750075459480286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7524814605712891},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.628692626953125},{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.5954815149307251},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5718076825141907},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5358681678771973},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5356936454772949},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5106731057167053},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4682774543762207},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44645440578460693},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.44015809893608093},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41999197006225586},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08764830231666565},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2900153","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2900153","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08645794.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:de01965d49dd4c3fbd4c3c7ca79122bc","is_oa":true,"landing_page_url":"https://doaj.org/article/de01965d49dd4c3fbd4c3c7ca79122bc","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 24990-25000 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2900153","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2900153","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08645794.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G2104442225","display_name":null,"funder_award_id":"104005009","funder_id":"https://openalex.org/F4320322170","funder_display_name":"University of Hong Kong"}],"funders":[{"id":"https://openalex.org/F4320322170","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2916153179.pdf","grobid_xml":"https://content.openalex.org/works/W2916153179.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W70975097","https://openalex.org/W125693051","https://openalex.org/W764651262","https://openalex.org/W1565746575","https://openalex.org/W1580389772","https://openalex.org/W1818002383","https://openalex.org/W1915250530","https://openalex.org/W1920234547","https://openalex.org/W1965736178","https://openalex.org/W1989153195","https://openalex.org/W2039298799","https://openalex.org/W2042687553","https://openalex.org/W2060167709","https://openalex.org/W2063366997","https://openalex.org/W2070337963","https://openalex.org/W2080972498","https://openalex.org/W2086962710","https://openalex.org/W2098047130","https://openalex.org/W2111169574","https://openalex.org/W2112796928","https://openalex.org/W2116361875","https://openalex.org/W2119967924","https://openalex.org/W2125416623","https://openalex.org/W2128254161","https://openalex.org/W2134905716","https://openalex.org/W2136154655","https://openalex.org/W2137313943","https://openalex.org/W2150007820","https://openalex.org/W2163605009","https://openalex.org/W2282289695","https://openalex.org/W2292303538","https://openalex.org/W2293980690","https://openalex.org/W2313309918","https://openalex.org/W2336968928","https://openalex.org/W2428327932","https://openalex.org/W2474628748","https://openalex.org/W2513285095","https://openalex.org/W2526095115","https://openalex.org/W2549094858","https://openalex.org/W2557153124","https://openalex.org/W2574319686","https://openalex.org/W2581652032","https://openalex.org/W2746077070","https://openalex.org/W2792179230","https://openalex.org/W2803413127","https://openalex.org/W2890589540","https://openalex.org/W2904288048","https://openalex.org/W2913539075","https://openalex.org/W2964221787","https://openalex.org/W4244705922","https://openalex.org/W6602936574","https://openalex.org/W6605121731","https://openalex.org/W6674471310","https://openalex.org/W6680152570","https://openalex.org/W6684191040","https://openalex.org/W6703874418","https://openalex.org/W6725968855","https://openalex.org/W6729480787"],"related_works":["https://openalex.org/W4391621807","https://openalex.org/W2943623134","https://openalex.org/W2494523064","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391621790","https://openalex.org/W2744012867","https://openalex.org/W4292830147","https://openalex.org/W3124498903","https://openalex.org/W3098172517"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,12,16,38,51,59,98,114,121],"deep":[6],"nonparametric":[7],"Bayesian":[8],"method":[9,150],"to":[10,58,69,86],"synthesize":[11],"light":[13,48,79],"field":[14,49,80],"from":[15,50,64,110],"single":[17,52],"image.":[18,112],"Conventionally,":[19],"light-field":[20],"capture":[21],"requires":[22],"special":[23],"optical":[24],"architecture,":[25],"and":[26,66,73,85,140],"the":[27,35,47,78,88,106,111,127,136,141],"gain":[28],"in":[29,40,158],"angular":[30],"resolution":[31],"often":[32],"comes":[33],"at":[34],"expense":[36],"of":[37,61],"reduction":[39],"spatial":[41],"resolution.":[42,162],"Techniques":[43],"for":[44,104],"computationally":[45],"generating":[46],"image":[53,161],"can":[54],"be":[55],"expanded":[56],"further":[57],"variety":[60],"applications,":[62],"ranging":[63],"microscopy":[65],"materials":[67],"analysis":[68],"vision-based":[70],"robotic":[71],"control":[72],"autonomous":[74],"vehicles.":[75],"We":[76],"treat":[77],"as":[81],"multiple":[82],"sub-aperture":[83],"views,":[84],"compute":[87],"novel":[89,128,154],"viewpoints,":[90],"our":[91,149],"model":[92],"contains":[93],"three":[94],"major":[95],"components.":[96],"First,":[97],"convolutional":[99],"neural":[100],"network":[101],"is":[102,118],"used":[103],"predicting":[105],"depth":[107,138],"probability":[108],"map":[109,139],"Second,":[113],"multi-scale":[115,142],"feature":[116,143],"dictionary":[117,123],"constructed":[119],"within":[120],"multi-layer":[122],"learning":[124],"network.":[125],"Third,":[126],"views":[129],"are":[130],"synthesized":[131],"taking":[132],"into":[133],"account":[134],"both":[135],"probabilistic":[137],"dictionary.":[144],"The":[145],"experiments":[146],"show":[147],"that":[148],"outperforms":[151],"several":[152],"state-of-the-art":[153],"view":[155],"synthesis":[156],"methods":[157],"delivering":[159],"good":[160]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}