{"id":"https://openalex.org/W3110116427","doi":"https://doi.org/10.5220/0010268701750184","title":"A Neural Network with Adversarial Loss for Light Field Synthesis from a Single Image","display_name":"A Neural Network with Adversarial Loss for Light Field Synthesis from a Single Image","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3110116427","doi":"https://doi.org/10.5220/0010268701750184","mag":"3110116427"},"language":"en","primary_location":{"id":"doi:10.5220/0010268701750184","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0010268701750184","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0010268701750184","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067153472","display_name":"Simon Evain","orcid":"https://orcid.org/0000-0001-5389-9441"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Simon Evain","raw_affiliation_strings":["Inria, Rennes, France, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Inria, Rennes, France, --- Select a Country ---","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010468033","display_name":"Christine Guillemot","orcid":"https://orcid.org/0000-0003-1604-967X"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christine Guillemot","raw_affiliation_strings":["Inria, Rennes, France, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Inria, Rennes, France, --- Select a Country ---","institution_ids":["https://openalex.org/I1326498283"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5067153472"],"corresponding_institution_ids":["https://openalex.org/I1326498283"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00669935,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"175","last_page":"184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9993000030517578,"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":0.9993000030517578,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.7417211532592773},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6910807490348816},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6838588118553162},{"id":"https://openalex.org/keywords/light-field","display_name":"Light field","score":0.6553080081939697},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6093770265579224},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5934466123580933},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.566054105758667},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.525800883769989},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5072919726371765},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4731874465942383},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3695206046104431},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13770335912704468}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7417211532592773},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6910807490348816},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6838588118553162},{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.6553080081939697},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6093770265579224},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5934466123580933},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.566054105758667},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.525800883769989},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5072919726371765},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4731874465942383},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3695206046104431},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13770335912704468},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0010268701750184","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0010268701750184","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0010268701750184","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0010268701750184","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W4323929292"],"abstract_inverted_index":{"This":[0,105],"paper":[1],"describes":[2],"a":[3,14,41,90],"lightweight":[4],"neural":[5],"network":[6],"architecture":[7],"with":[8],"an":[9,59],"adversarial":[10,60],"loss":[11,61],"for":[12,62,112],"generating":[13],"full":[15,91],"light":[16,75,92],"field":[17,76,93],"from":[18,35,94],"one":[19,36,95],"single":[20,37,96],"image.":[21],"The":[22,50,65],"method":[23,83],"is":[24],"able":[25],"to":[26,40,108,115],"estimate":[27],"disparity":[28,42,51],"maps":[29],"and":[30,72,119],"automatically":[31],"identify":[32],"occluded":[33],"regions":[34],"image":[38],"thanks":[39],"confidence":[43,52],"map":[44,53],"based":[45],"on":[46,74,102],"forward-backward":[47],"consistency":[48],"checks.":[49],"also":[54,80],"controls":[55],"the":[56,82],"use":[57],"of":[58],"occlusion":[63],"handling.":[64],"approach":[66,111],"outperforms":[67],"reference":[68],"methods":[69],"when":[70,99],"trained":[71,100],"tested":[73],"data.":[77,104],"Besides,":[78],"we":[79],"designed":[81],"so":[84],"that":[85],"it":[86],"can":[87],"efficiently":[88],"generate":[89],"image,":[97],"even":[98],"only":[101],"stereo":[103],"allows":[106],"us":[107],"generalize":[109],"our":[110],"view":[113],"synthesis":[114],"more":[116],"diverse":[117],"data":[118],"semantics.":[120]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
