{"id":"https://openalex.org/W3112126839","doi":"https://doi.org/10.1109/smc42975.2020.9283047","title":"Omni-Directional Image Generation from Single Snapshot Image","display_name":"Omni-Directional Image Generation from Single Snapshot Image","publication_year":2020,"publication_date":"2020-10-11","ids":{"openalex":"https://openalex.org/W3112126839","doi":"https://doi.org/10.1109/smc42975.2020.9283047","mag":"3112126839"},"language":"en","primary_location":{"id":"doi:10.1109/smc42975.2020.9283047","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc42975.2020.9283047","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5078045250","display_name":"Keisuke Okubo","orcid":null},"institutions":[{"id":"https://openalex.org/I42999171","display_name":"Sophia University","ror":"https://ror.org/01nckkm68","country_code":"JP","type":"education","lineage":["https://openalex.org/I42999171"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keisuke Okubo","raw_affiliation_strings":["Sophia University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sophia University, Tokyo, Japan","institution_ids":["https://openalex.org/I42999171"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101242929","display_name":"Takao Yamanaka","orcid":"https://orcid.org/0000-0001-9028-8244"},"institutions":[{"id":"https://openalex.org/I42999171","display_name":"Sophia University","ror":"https://ror.org/01nckkm68","country_code":"JP","type":"education","lineage":["https://openalex.org/I42999171"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takao Yamanaka","raw_affiliation_strings":["Sophia University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sophia University, Tokyo, Japan","institution_ids":["https://openalex.org/I42999171"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I42999171"],"apc_list":null,"apc_paid":null,"fwci":0.2563,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5877583,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3021","last_page":"3028"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9998000264167786,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9998000264167786,"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":0.9962000250816345,"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":0.9937999844551086,"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/snapshot","display_name":"Snapshot (computer storage)","score":0.8581784963607788},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7531444430351257},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7320771813392639},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6426270008087158},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.44831469655036926},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4123348593711853},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.40009385347366333},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.38882720470428467}],"concepts":[{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.8581784963607788},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7531444430351257},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7320771813392639},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6426270008087158},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.44831469655036926},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4123348593711853},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.40009385347366333},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.38882720470428467},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc42975.2020.9283047","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc42975.2020.9283047","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2099471712","https://openalex.org/W2160398734","https://openalex.org/W2194775991","https://openalex.org/W2732026016","https://openalex.org/W2785678896","https://openalex.org/W2895250390","https://openalex.org/W2895696451","https://openalex.org/W2948065500","https://openalex.org/W2962770929","https://openalex.org/W2962817776","https://openalex.org/W2962879692","https://openalex.org/W2963073614","https://openalex.org/W2963836885","https://openalex.org/W2963981733","https://openalex.org/W2964024144","https://openalex.org/W4295521014","https://openalex.org/W4301206121","https://openalex.org/W4320013936","https://openalex.org/W6639824700","https://openalex.org/W6683208986","https://openalex.org/W6735913928","https://openalex.org/W6748582592","https://openalex.org/W6762963088","https://openalex.org/W6765779288"],"related_works":["https://openalex.org/W2542847180","https://openalex.org/W3034994054","https://openalex.org/W2805712290","https://openalex.org/W2155226960","https://openalex.org/W2909129499","https://openalex.org/W2392087771","https://openalex.org/W2761598930","https://openalex.org/W2553994394","https://openalex.org/W2356600124","https://openalex.org/W4389345324"],"abstract_inverted_index":{"An":[0],"omni-directional":[1],"image":[2,6,100],"(ODI)":[3],"is":[4,101],"the":[5,14,18,44,50,73,110],"that":[7],"has":[8],"a":[9,28,88,97,137],"field":[10],"of":[11,31,66],"view":[12],"covering":[13],"entire":[15],"sphere":[16],"around":[17],"camera.":[19,139],"The":[20],"ODIs":[21,67],"have":[22,48],"begun":[23],"to":[24,93],"be":[25,132],"used":[26],"in":[27,103,117],"wide":[29],"range":[30],"fields":[32],"such":[33],"as":[34],"virtual":[35],"reality":[36],"(VR),":[37],"robotics,":[38],"and":[39,53,129],"social":[40],"network":[41,114],"services.":[42],"Although":[43],"contents":[45],"using":[46],"ODI":[47,95],"increased,":[49],"available":[51],"images":[52,128],"videos":[54,130],"are":[55,68],"still":[56],"limited,":[57],"compared":[58],"with":[59,119,136],"widespread":[60],"snapshot":[61,99],"images.":[62],"A":[63],"large":[64],"number":[65],"desired":[69],"not":[70],"only":[71],"for":[72,78,83],"VR":[74,127],"contents,":[75],"but":[76],"also":[77],"training":[79],"deep":[80],"learning":[81],"models":[82],"ODI.":[84],"For":[85],"these":[86],"purposes,":[87],"novel":[89,125],"computer":[90],"vision":[91],"task":[92],"generate":[94],"from":[96],"single":[98],"proposed":[102],"this":[104,108,124],"paper.":[105],"To":[106],"tackle":[107],"problem,":[109],"conditional":[111],"generative":[112],"adversarial":[113],"was":[115],"applied":[116],"combination":[118],"class-conditioned":[120],"convolution":[121],"layers.":[122],"With":[123],"task,":[126],"will":[131],"easily":[133],"created":[134],"even":[135],"smartphone":[138]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
