{"id":"https://openalex.org/W3021515211","doi":"https://doi.org/10.2312/cgvc.20191262","title":"Deep Terrain Expansion: Terrain Texture Synthesis with Deep Learning","display_name":"Deep Terrain Expansion: Terrain Texture Synthesis with Deep Learning","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W3021515211","doi":"https://doi.org/10.2312/cgvc.20191262","mag":"3021515211"},"language":"en","primary_location":{"id":"doi:10.2312/cgvc.20191262","is_oa":true,"landing_page_url":"https://doi.org/10.2312/cgvc.20191262","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/cgvc.20191262","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040224260","display_name":"Vasilis Toulatzis","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Toulatzis, Vasilis","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5050689726","display_name":"Ioannis Fudos","orcid":"https://orcid.org/0000-0002-4137-0986"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fudos, Ioannis","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5040224260"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2024,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57267906,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.8883000016212463,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.8883000016212463,"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/T10535","display_name":"Landslides and related hazards","score":0.8230000138282776,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"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/terrain","display_name":"Terrain","score":0.77097088098526},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.5953742265701294},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.563194990158081},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5267386436462402},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.46874621510505676},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4519205093383789},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40074846148490906},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.3036680817604065},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2862616181373596},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.24169087409973145},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1301417350769043}],"concepts":[{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.77097088098526},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.5953742265701294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.563194990158081},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5267386436462402},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.46874621510505676},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4519205093383789},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40074846148490906},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.3036680817604065},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2862616181373596},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.24169087409973145},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1301417350769043}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2312/cgvc.20191262","is_oa":true,"landing_page_url":"https://doi.org/10.2312/cgvc.20191262","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.2312/cgvc.20191262","is_oa":true,"landing_page_url":"https://doi.org/10.2312/cgvc.20191262","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3007762186","https://openalex.org/W2500873328","https://openalex.org/W2943511921","https://openalex.org/W2028775055","https://openalex.org/W2377612139","https://openalex.org/W2372220508","https://openalex.org/W2005330190","https://openalex.org/W2503600332","https://openalex.org/W2795393583","https://openalex.org/W2739965053","https://openalex.org/W3044129187","https://openalex.org/W2300770188","https://openalex.org/W1516890493","https://openalex.org/W2493442242","https://openalex.org/W2973218691","https://openalex.org/W2090378944","https://openalex.org/W2228874416","https://openalex.org/W2354404678","https://openalex.org/W2392672188","https://openalex.org/W3125543349"],"abstract_inverted_index":{"In":[0,36,97],"real-world":[1],"applications":[2,15],"terrains":[3],"play":[4],"a":[5,25,43,61,65,68,91,102,115],"cardinal":[6],"role":[7],"in":[8,48,94],"the":[9,39,56],"field":[10],"of":[11,24,42,64,75,114],"games":[12],"and":[13,112],"geospatial":[14],"such":[16,95],"as":[17],"Geographic":[18],"Information":[19],"Systems":[20],"(GIS).":[21],"The":[22],"textures":[23],"terrain":[26,69],"are":[27],"essential":[28],"for":[29,34],"creating":[30],"virtual":[31],"photorealistic":[32,83],"environments":[33],"users.":[35],"many":[37],"cases,":[38],"entire":[40],"texture":[41,58,66,88],"region":[44],"is":[45,52,90],"not":[46],"available":[47],"high":[49,86],"resolution":[50],"or":[51,70],"much":[53],"smaller":[54],"than":[55],"required":[57],"to":[59,79],"cover":[60],"terrain.":[62],"Tiling":[63],"across":[67],"using":[71],"an":[72,81],"enlarged":[73],"version":[74],"it":[76],"usually":[77],"fails":[78],"provide":[80],"acceptable":[82],"result.":[84],"Consequently,":[85],"quality":[87],"synthesis":[89,111],"central":[92],"issue":[93],"settings.":[96],"this":[98],"paper,":[99],"we":[100],"explore":[101],"novel":[103],"methodology":[104],"that":[105],"extends":[106],"previous":[107],"work":[108],"providing":[109],"both":[110],"expansion/shrinkage":[113],"texture.":[116]},"counts_by_year":[{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}
