{"id":"https://openalex.org/W6945192388","doi":"https://doi.org/10.2312/cgvc.20181212","title":"Image Inpainting for High-Resolution Textures using CNN Texture Synthesis","display_name":"Image Inpainting for High-Resolution Textures using CNN Texture Synthesis","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W6945192388","doi":"https://doi.org/10.2312/cgvc.20181212"},"language":"en","primary_location":{"id":"doi:10.2312/cgvc.20181212","is_oa":true,"landing_page_url":"https://doi.org/10.2312/cgvc.20181212","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.20181212","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Laube, Pascal","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Laube, Pascal","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Grunwald, Michael","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Grunwald, Michael","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Franz, Matthias O.","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Franz, Matthias O.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Umlauf, Georg","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Umlauf, Georg","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.43462908,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11085","display_name":"Fungal Biology and Applications","score":0.09030000120401382,"subfield":{"id":"https://openalex.org/subfields/2736","display_name":"Pharmacology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11085","display_name":"Fungal Biology and Applications","score":0.09030000120401382,"subfield":{"id":"https://openalex.org/subfields/2736","display_name":"Pharmacology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10815","display_name":"Parasite Biology and Host Interactions","score":0.08020000159740448,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12319","display_name":"Fish Biology and Ecology Studies","score":0.06239999830722809,"subfield":{"id":"https://openalex.org/subfields/1104","display_name":"Aquatic Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.9793000221252441},{"id":"https://openalex.org/keywords/texture-synthesis","display_name":"Texture synthesis","score":0.7045000195503235},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6725999712944031},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6218000054359436},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5281000137329102},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5267000198364258},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4366999864578247},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.4296000003814697}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.9793000221252441},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8338000178337097},{"id":"https://openalex.org/C50494287","wikidata":"https://www.wikidata.org/wiki/Q658467","display_name":"Texture synthesis","level":5,"score":0.7045000195503235},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6725999712944031},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6693000197410583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6582000255584717},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6218000054359436},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5281000137329102},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5267000198364258},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4366999864578247},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.4296000003814697},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.42239999771118164},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.37470000982284546},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.35989999771118164},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.34040001034736633},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.32359999418258667},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.301800012588501},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2667999863624573},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.265500009059906},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.2547999918460846}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2312/cgvc.20181212","is_oa":true,"landing_page_url":"https://doi.org/10.2312/cgvc.20181212","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.20181212","is_oa":true,"landing_page_url":"https://doi.org/10.2312/cgvc.20181212","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Deep":[0],"neural":[1,28,49],"networks":[2,29,50],"have":[3],"been":[4],"successfully":[5],"applied":[6],"to":[7,41,70,102,137],"problems":[8],"such":[9],"as":[10,106,108],"image":[11,13,17,32,94],"segmentation,":[12],"super-resolution,":[14],"coloration":[15],"and":[16,63,73],"inpainting.":[18],"In":[19],"this":[20],"work":[21],"we":[22,91,135],"propose":[23,92,136],"the":[24,64,79,123,139,147],"use":[25,138],"of":[26,34,60,66,75,116,125],"convolutional":[27],"(CNN)":[30],"for":[31,104,128],"inpainting":[33,59,95,119,148],"large":[35,118],"regions":[36],"in":[37,78,86,146],"high-resolution":[38,46,129],"textures.":[39],"Due":[40],"limited":[42],"computational":[43],"resources":[44],"processing":[45],"images":[47],"with":[48],"is":[51,100,114],"still":[52],"an":[53],"open":[54],"problem.":[55],"Existing":[56],"methods":[57,127],"separate":[58],"global":[61,76,105],"structure":[62],"transfer":[65,81],"details,":[67],"which":[68],"leads":[69],"blurry":[71],"results":[72],"loss":[74],"coherence":[77],"detail":[80,109],"step.":[82],"Based":[83],"on":[84],"advances":[85],"texture":[87,110],"synthesis":[88],"using":[89],"CNNs":[90],"patch-based":[93],"by":[96],"a":[97],"CNN":[98],"that":[99,143],"able":[101],"optimize":[103],"well":[107],"statistics.":[111],"Our":[112],"method":[113],"capable":[115],"filling":[117],"regions,":[120],"oftentimes":[121],"exceeding":[122],"quality":[124],"comparable":[126],"images.":[130],"For":[131],"reference":[132],"patch":[133],"look-up":[134],"same":[140],"summary":[141],"statistics":[142],"are":[144],"used":[145],"process.":[149]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}