{"id":"https://openalex.org/W2892068621","doi":"https://doi.org/10.1109/icip.2018.8451311","title":"Stereo Generation from a Single Image Using Deep Residual Network","display_name":"Stereo Generation from a Single Image Using Deep Residual Network","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2892068621","doi":"https://doi.org/10.1109/icip.2018.8451311","mag":"2892068621"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451311","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","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/A5108705811","display_name":"Jun Huang","orcid":"https://orcid.org/0000-0003-4939-3880"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Huang","raw_affiliation_strings":["Beijing Engineering Research Center of Mixed Reality and Advanced Display, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center of Mixed Reality and Advanced Display, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076788685","display_name":"Tianteng Bi","orcid":"https://orcid.org/0000-0002-0137-9003"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianteng Bi","raw_affiliation_strings":["Beijing Engineering Research Center of Mixed Reality and Advanced Display, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center of Mixed Reality and Advanced Display, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100320085","display_name":"Yue Liu","orcid":"https://orcid.org/0000-0002-6784-8802"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Liu","raw_affiliation_strings":["Beijing Engineering Research Center of Mixed Reality and Advanced Display, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center of Mixed Reality and Advanced Display, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026250850","display_name":"Yongtian Wang","orcid":"https://orcid.org/0000-0001-9422-0888"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongtian Wang","raw_affiliation_strings":["Beijing Engineering Research Center of Mixed Reality and Advanced Display, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center of Mixed Reality and Advanced Display, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5108705811"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.1045,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44977536,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"39","issue":null,"first_page":"3653","last_page":"3657"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9983999729156494,"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":0.9976000189781189,"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":0.8239712715148926},{"id":"https://openalex.org/keywords/panorama","display_name":"Panorama","score":0.8026267290115356},{"id":"https://openalex.org/keywords/stereoscopy","display_name":"Stereoscopy","score":0.7416359782218933},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7140446305274963},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6956080794334412},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6807094812393188},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6137034893035889},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5801202058792114},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.5530298352241516},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5009019374847412},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4942183792591095},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4309282898902893},{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.41536587476730347},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40312278270721436},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12379777431488037}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8239712715148926},{"id":"https://openalex.org/C2780580889","wikidata":"https://www.wikidata.org/wiki/Q41363","display_name":"Panorama","level":2,"score":0.8026267290115356},{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.7416359782218933},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7140446305274963},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6956080794334412},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6807094812393188},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6137034893035889},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5801202058792114},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.5530298352241516},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5009019374847412},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4942183792591095},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4309282898902893},{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.41536587476730347},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40312278270721436},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12379777431488037},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2018.8451311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451311","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1545195129","https://openalex.org/W1803059841","https://openalex.org/W1905829557","https://openalex.org/W2010363308","https://openalex.org/W2046155154","https://openalex.org/W2118246710","https://openalex.org/W2125416623","https://openalex.org/W2132947399","https://openalex.org/W2136154655","https://openalex.org/W2139905387","https://openalex.org/W2149933564","https://openalex.org/W2151996626","https://openalex.org/W2158211626","https://openalex.org/W2167897892","https://openalex.org/W2171740948","https://openalex.org/W2194775991","https://openalex.org/W2221366145","https://openalex.org/W2395611524","https://openalex.org/W2581707535","https://openalex.org/W2604686730","https://openalex.org/W2951234442","https://openalex.org/W2962741876","https://openalex.org/W2963591054","https://openalex.org/W2963825193","https://openalex.org/W4299518610","https://openalex.org/W6605121731","https://openalex.org/W6659483329","https://openalex.org/W6682132143","https://openalex.org/W6683067110","https://openalex.org/W6685261749","https://openalex.org/W6703405610","https://openalex.org/W6706139354","https://openalex.org/W6736063295"],"related_works":["https://openalex.org/W2380775572","https://openalex.org/W2213520135","https://openalex.org/W2393825039","https://openalex.org/W2244018504","https://openalex.org/W2951694738","https://openalex.org/W3036977332","https://openalex.org/W4255706547","https://openalex.org/W1506816029","https://openalex.org/W4385702170","https://openalex.org/W171103548"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,12,30,98],"framework":[6,27],"to":[7,41,55,64,103],"generate":[8,65],"stereoscopic":[9,66],"content":[10],"from":[11,21,35,97],"single":[13,99],"image":[14,100],"using":[15],"the":[16,36,76,90,108],"relative":[17,32,94],"depth":[18,33,43,95],"label":[19,34],"predicted":[20],"deep":[22],"residual":[23],"network.":[24],"Specifically,":[25],"our":[26,112],"first":[28],"obtains":[29],"coarse":[31],"network":[37],"and":[38,46,86,116],"refines":[39],"it":[40],"painting":[42],"by":[44],"sampling":[45],"interpolation,":[47],"then":[48],"an":[49],"unsupervised":[50],"clustering":[51],"algorithm":[52],"is":[53],"employed":[54],"separate":[56],"pixels":[57],"of":[58,111],"different":[59,62],"depths":[60],"into":[61],"layers":[63],"images.":[67],"Experimental":[68],"results":[69,92],"with":[70],"good":[71],"visual":[72],"effects":[73],"demonstrate":[74],"that":[75],"proposed":[77],"method":[78,113],"can":[79],"be":[80],"generally":[81],"applied":[82],"in":[83,114],"both":[84],"outdoor":[85],"indoor":[87],"scenes.":[88],"Meanwhile":[89],"quantitative":[91],"on":[93],"estimation":[96],"are":[101],"comparable":[102],"state-of-the-art.":[104],"Further":[105],"experiments":[106],"show":[107],"application":[109],"possibility":[110],"VR":[115],"panorama.":[117]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}