{"id":"https://openalex.org/W3130591054","doi":"https://doi.org/10.1109/access.2021.3060435","title":"Depth Estimation From a Single RGB Image Using Fine-Tuned Generative Adversarial Network","display_name":"Depth Estimation From a Single RGB Image Using Fine-Tuned Generative Adversarial Network","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3130591054","doi":"https://doi.org/10.1109/access.2021.3060435","mag":"3130591054"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3060435","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3060435","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09358203.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/ielx7/6287639/9312710/09358203.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054148817","display_name":"Naeem Ul Islam","orcid":"https://orcid.org/0000-0002-7806-9601"},"institutions":[{"id":"https://openalex.org/I80611190","display_name":"Jeonbuk National University","ror":"https://ror.org/05q92br09","country_code":"KR","type":"education","lineage":["https://openalex.org/I80611190"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Naeem Ul Islam","raw_affiliation_strings":["Core Research Institute of Intelligent Robots, Jeonbuk National University, Jeonju, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Core Research Institute of Intelligent Robots, Jeonbuk National University, Jeonju, South Korea","institution_ids":["https://openalex.org/I80611190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027996912","display_name":"Jaebyung Park","orcid":"https://orcid.org/0000-0002-5771-2872"},"institutions":[{"id":"https://openalex.org/I80611190","display_name":"Jeonbuk National University","ror":"https://ror.org/05q92br09","country_code":"KR","type":"education","lineage":["https://openalex.org/I80611190"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaebyung Park","raw_affiliation_strings":["Core Research Institute of Intelligent Robots, Jeonbuk National University, Jeonju, South Korea","Division of Electronics and Information Engineering, Jeonbuk National University, Jeonju, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Core Research Institute of Intelligent Robots, Jeonbuk National University, Jeonju, South Korea","institution_ids":["https://openalex.org/I80611190"]},{"raw_affiliation_string":"Division of Electronics and Information Engineering, Jeonbuk National University, Jeonju, South Korea","institution_ids":["https://openalex.org/I80611190"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054148817"],"corresponding_institution_ids":["https://openalex.org/I80611190"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.1638,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.80015817,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"9","issue":null,"first_page":"32781","last_page":"32794"},"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":0.9994999766349792,"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/T10638","display_name":"Optical measurement and interference 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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.8237570524215698},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7567372918128967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7134780287742615},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.6591808199882507},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6583503484725952},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6577659845352173},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5822470188140869},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.504560112953186},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.488543838262558},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4601588249206543},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4592594504356384},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3342636227607727},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11755934357643127},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.11101287603378296},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08014309406280518},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07025107741355896}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.8237570524215698},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7567372918128967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7134780287742615},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.6591808199882507},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6583503484725952},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6577659845352173},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5822470188140869},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.504560112953186},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.488543838262558},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4601588249206543},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4592594504356384},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3342636227607727},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11755934357643127},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.11101287603378296},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08014309406280518},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07025107741355896},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3060435","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3060435","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09358203.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:83a7f783d2e24386bc40725355ea01a6","is_oa":true,"landing_page_url":"https://doaj.org/article/83a7f783d2e24386bc40725355ea01a6","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 9, Pp 32781-32794 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3060435","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3060435","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09358203.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7599999904632568}],"awards":[{"id":"https://openalex.org/G4259406643","display_name":null,"funder_award_id":"NRF-2019R1A6A1A09031717","funder_id":"https://openalex.org/F4320311649","funder_display_name":"Ministry of Education"},{"id":"https://openalex.org/G4652121681","display_name":null,"funder_award_id":"NRF-2019R1A6A1A09031717","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"},{"id":"https://openalex.org/G5448928685","display_name":null,"funder_award_id":"2019R1A6A1A09031717","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G6141945998","display_name":null,"funder_award_id":"NRF-2018R1D1A1B07049270","funder_id":"https://openalex.org/F4320311649","funder_display_name":"Ministry of Education"},{"id":"https://openalex.org/G6755908106","display_name":null,"funder_award_id":"NRF-2019R1A6A1A09031717","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G8019972094","display_name":null,"funder_award_id":"2019R1A6A1A09031717","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"},{"id":"https://openalex.org/G8050927769","display_name":null,"funder_award_id":"NRF-2018R1D1A1B07049270","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320311649","display_name":"Ministry of Education","ror":"https://ror.org/036nq5137"},{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3130591054.pdf","grobid_xml":"https://content.openalex.org/works/W3130591054.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W48578105","https://openalex.org/W125693051","https://openalex.org/W1522301498","https://openalex.org/W1590518343","https://openalex.org/W1803059841","https://openalex.org/W1903029394","https://openalex.org/W1923779427","https://openalex.org/W1923848918","https://openalex.org/W1975089519","https://openalex.org/W1992178727","https://openalex.org/W1999156278","https://openalex.org/W2008331211","https://openalex.org/W2026203852","https://openalex.org/W2074254947","https://openalex.org/W2104974755","https://openalex.org/W2115579991","https://openalex.org/W2118304946","https://openalex.org/W2132947399","https://openalex.org/W2151996626","https://openalex.org/W2155871590","https://openalex.org/W2158211626","https://openalex.org/W2172156083","https://openalex.org/W2336968928","https://openalex.org/W2340897893","https://openalex.org/W2427448504","https://openalex.org/W2471962767","https://openalex.org/W2615502831","https://openalex.org/W2759875216","https://openalex.org/W2916229809","https://openalex.org/W2943586321","https://openalex.org/W2945689745","https://openalex.org/W2951234442","https://openalex.org/W2963073614","https://openalex.org/W2963444790","https://openalex.org/W2964121744","https://openalex.org/W2964204305","https://openalex.org/W3009227557","https://openalex.org/W3021993498","https://openalex.org/W3102169128","https://openalex.org/W4235111023","https://openalex.org/W4287990360","https://openalex.org/W6631190155","https://openalex.org/W6652463929","https://openalex.org/W6683067110","https://openalex.org/W6685261749","https://openalex.org/W6738384942"],"related_works":["https://openalex.org/W4293202849","https://openalex.org/W1980965563","https://openalex.org/W1489300767","https://openalex.org/W2387995142","https://openalex.org/W4380714744","https://openalex.org/W4319453655","https://openalex.org/W2089959425","https://openalex.org/W2057775761","https://openalex.org/W2366944513","https://openalex.org/W2003805688"],"abstract_inverted_index":{"Estimating":[0],"the":[1,13,16,27,36,54,68,95,110,114,118,121,125,142,146,150,168,173,181,185,193],"depth":[2,37,69,102,122,147,182],"map":[3,70,123,148,183],"from":[4,38,124,149,184],"a":[5,39,44,61,73,84,88,161],"single":[6,40,75],"RGB":[7,41,76,99,152],"image":[8,153],"is":[9,56,81],"important":[10],"to":[11,66,144],"understand":[12],"nature":[14],"of":[15,83,94,117,172],"terrain":[17,55],"in":[18,26,109,135],"robot":[19],"navigation":[20],"and":[21,87,101,104,132,139,170,190],"has":[22],"attracted":[23],"considerable":[24],"attention":[25],"past":[28],"decade.":[29],"The":[30,48,78,91,128,176],"existing":[31,194],"approaches":[32],"can":[33],"accurately":[34,191],"estimate":[35,67,145],"image,":[42],"considering":[43],"highly":[45,57,162],"structured":[46],"environment.":[47],"problem":[49],"becomes":[50],"more":[51,188],"challenging":[52],"when":[53],"dynamic.":[58],"We":[59],"propose":[60],"fine-tuned":[62,85],"generative":[63],"adversarial":[64],"network":[65,80],"effectively":[71,189],"for":[72,166],"given":[74,151],"image.":[77],"proposed":[79,174,177],"composed":[82],"generator":[86,96,119,143],"global":[89],"discriminator.":[90],"encoder":[92],"part":[93,116],"takes":[97,130],"input":[98],"images":[100],"maps":[103],"generates":[105],"their":[106],"joint":[107,126,186],"distribution":[108,187],"latent":[111],"space.":[112],"Subsequently,":[113],"decoder":[115],"decodes":[120],"distribution.":[127],"discriminator":[129],"real":[131],"fake":[133],"pairs":[134],"three":[136],"different":[137],"configurations":[138],"then":[140],"guides":[141],"accordingly.":[154],"Finally,":[155],"we":[156],"conducted":[157],"extensive":[158],"experiments":[159],"with":[160],"dynamic":[163],"environment":[164],"dataset":[165],"verifying":[167],"effectiveness":[169],"feasibility":[171],"approach.":[175],"approach":[178],"could":[179],"decode":[180],"than":[192],"approaches.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}