{"id":"https://openalex.org/W2698133761","doi":"https://doi.org/10.1137/16m1109047","title":"Texture Inpainting Using Efficient Gaussian Conditional Simulation","display_name":"Texture Inpainting Using Efficient Gaussian Conditional Simulation","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2698133761","doi":"https://doi.org/10.1137/16m1109047","mag":"2698133761"},"language":"en","primary_location":{"id":"doi:10.1137/16m1109047","is_oa":false,"landing_page_url":"https://doi.org/10.1137/16m1109047","pdf_url":null,"source":{"id":"https://openalex.org/S152600803","display_name":"SIAM Journal on Imaging Sciences","issn_l":"1936-4954","issn":["1936-4954"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Imaging Sciences","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-01428428/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014450150","display_name":"Bruno Galerne","orcid":null},"institutions":[{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4210102957","display_name":"D\u00e9partement math\u00e9matiques, informatique, sciences de la donn\u00e9e et technologies du num\u00e9rique","ror":"https://ror.org/011emb038","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210088668","https://openalex.org/I4210102957"]},{"id":"https://openalex.org/I4387154995","display_name":"Math\u00e9matiques Appliqu\u00e9es \u00e0 Paris 5","ror":"https://ror.org/04yrrdj53","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I204730241","https://openalex.org/I4387154995"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Bruno Galerne","raw_affiliation_strings":["MAP5 - UMR 8145 - Math\u00e9matiques Appliqu\u00e9es Paris 5 (UFR Math\u00e9matiques et Informatique, \r\n45 rue des Saints-P\u00e8res \r\n75270 PARIS CEDEX 06 - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MAP5 - UMR 8145 - Math\u00e9matiques Appliqu\u00e9es Paris 5 (UFR Math\u00e9matiques et Informatique, \r\n45 rue des Saints-P\u00e8res \r\n75270 PARIS CEDEX 06 - France)","institution_ids":["https://openalex.org/I204730241","https://openalex.org/I4210102957","https://openalex.org/I4387154995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054416120","display_name":"Arthur Leclaire","orcid":"https://orcid.org/0000-0002-2944-257X"},"institutions":[{"id":"https://openalex.org/I11559806","display_name":"\u00c9cole Normale Sup\u00e9rieure Paris-Saclay","ror":"https://ror.org/00hx6zz33","country_code":"FR","type":"education","lineage":["https://openalex.org/I11559806","https://openalex.org/I277688954"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210150889","display_name":"Center for MathematicaL studies and their Applications","ror":"https://ror.org/05pabaz56","country_code":"FR","type":"facility","lineage":["https://openalex.org/I11559806","https://openalex.org/I1294671590","https://openalex.org/I277688954","https://openalex.org/I4210141950","https://openalex.org/I4210150889"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Arthur Leclaire","raw_affiliation_strings":["CMLA - Centre de Math\u00e9matiques et de Leurs Applications (ENS Cachan CNRS, PRES UniverSud, 61 Avenue du Pr\u00b4esident Wilson 94230 Cachan - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CMLA - Centre de Math\u00e9matiques et de Leurs Applications (ENS Cachan CNRS, PRES UniverSud, 61 Avenue du Pr\u00b4esident Wilson 94230 Cachan - France)","institution_ids":["https://openalex.org/I11559806","https://openalex.org/I1294671590","https://openalex.org/I4210150889"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.862,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.79529523,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"10","issue":"3","first_page":"1446","last_page":"1474"},"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":0.9995999932289124,"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":0.9995999932289124,"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":0.9962999820709229,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.9685564041137695},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6561551690101624},{"id":"https://openalex.org/keywords/texture-synthesis","display_name":"Texture synthesis","score":0.5978763699531555},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5905025005340576},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5330126881599426},{"id":"https://openalex.org/keywords/random-field","display_name":"Random field","score":0.4998133182525635},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.49670273065567017},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4561242163181305},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44365763664245605},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.426108181476593},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4243747293949127},{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.423194020986557},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40395671129226685},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40185537934303284},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.35016071796417236},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2483271360397339},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09129515290260315}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.9685564041137695},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6561551690101624},{"id":"https://openalex.org/C50494287","wikidata":"https://www.wikidata.org/wiki/Q658467","display_name":"Texture synthesis","level":5,"score":0.5978763699531555},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5905025005340576},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5330126881599426},{"id":"https://openalex.org/C130402806","wikidata":"https://www.wikidata.org/wiki/Q5361768","display_name":"Random field","level":2,"score":0.4998133182525635},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49670273065567017},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4561242163181305},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44365763664245605},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.426108181476593},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4243747293949127},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.423194020986557},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40395671129226685},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40185537934303284},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.35016071796417236},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2483271360397339},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09129515290260315},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1137/16m1109047","is_oa":false,"landing_page_url":"https://doi.org/10.1137/16m1109047","pdf_url":null,"source":{"id":"https://openalex.org/S152600803","display_name":"SIAM Journal on Imaging Sciences","issn_l":"1936-4954","issn":["1936-4954"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Imaging Sciences","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-01428428v2","is_oa":true,"landing_page_url":"https://hal.science/hal-01428428","pdf_url":"https://hal.science/hal-01428428/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://epubs.siam.org/doi/10.1137/16M1109047","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01428428v2","is_oa":true,"landing_page_url":"https://hal.science/hal-01428428","pdf_url":"https://hal.science/hal-01428428/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://epubs.siam.org/doi/10.1137/16M1109047","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7599999550","display_name":"Multi-Image Restoration and fusion: from Applied Mathematics to the imaging Industry","funder_award_id":"ANR-14-CE27-0019","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2698133761.pdf"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W224589444","https://openalex.org/W1973728860","https://openalex.org/W1979331265","https://openalex.org/W1988251053","https://openalex.org/W1993120651","https://openalex.org/W1999788007","https://openalex.org/W1999905919","https://openalex.org/W2001600790","https://openalex.org/W2012875423","https://openalex.org/W2015620003","https://openalex.org/W2024931169","https://openalex.org/W2025944155","https://openalex.org/W2029411311","https://openalex.org/W2031832209","https://openalex.org/W2046306852","https://openalex.org/W2054366734","https://openalex.org/W2063395512","https://openalex.org/W2065872253","https://openalex.org/W2069237980","https://openalex.org/W2072259297","https://openalex.org/W2078179989","https://openalex.org/W2081351607","https://openalex.org/W2082732230","https://openalex.org/W2091501226","https://openalex.org/W2093212899","https://openalex.org/W2096461046","https://openalex.org/W2100415658","https://openalex.org/W2104962368","https://openalex.org/W2105038642","https://openalex.org/W2114122776","https://openalex.org/W2124113591","https://openalex.org/W2125945051","https://openalex.org/W2130084676","https://openalex.org/W2130761473","https://openalex.org/W2131831293","https://openalex.org/W2132250001","https://openalex.org/W2135339218","https://openalex.org/W2140207570","https://openalex.org/W2146228873","https://openalex.org/W2147901574","https://openalex.org/W2152222383","https://openalex.org/W2155079143","https://openalex.org/W2164490837","https://openalex.org/W2167943787","https://openalex.org/W2168594645","https://openalex.org/W2168878035","https://openalex.org/W2182080041","https://openalex.org/W2183352262","https://openalex.org/W3001217199","https://openalex.org/W3106221724","https://openalex.org/W3136799815","https://openalex.org/W4301358055"],"related_works":["https://openalex.org/W2385244905","https://openalex.org/W1554980273","https://openalex.org/W2021008485","https://openalex.org/W2352164403","https://openalex.org/W2317681159","https://openalex.org/W2771814581","https://openalex.org/W2368324430","https://openalex.org/W2616924144","https://openalex.org/W2355113740","https://openalex.org/W2030411253"],"abstract_inverted_index":{"Inpainting":[0],"consists":[1],"in":[2,61,80,146,187],"computing":[3],"a":[4,30,33,39,51,89,96,102,140,158,163,188,191],"plausible":[5],"completion":[6],"of":[7,10,21,32,42,74,85,134,149,166],"missing":[8],"parts":[9],"an":[11,72],"image":[12,25,43],"given":[13],"the":[14,18,24,46,65,83,117,124,147,167,174,200],"available":[15],"content.":[16],"In":[17,67],"restricted":[19],"framework":[20],"texture":[22,53,98,206],"images,":[23],"can":[26,56,153],"be":[27,58,154],"seen":[28],"as":[29],"realization":[31],"random":[34,52],"field":[35],"model,":[36],"which":[37,55],"gives":[38,109],"stochastic":[40,76],"formulation":[41],"inpainting:":[44],"on":[45,101,205],"masked":[47,103],"exemplar":[48],"one":[49],"estimates":[50],"model":[54,99],"then":[57],"conditionally":[59],"sampled":[60],"order":[62],"to":[63,138,180],"fill":[64],"hole.":[66],"this":[68,135],"paper":[69],"is":[70,92,121,137,178],"proposed":[71,93,201],"instance":[73],"such":[75],"inpainting":[77,114,176,210],"methods,":[78],"dealing":[79],"particular":[81],"with":[82,123,157,190],"case":[84,148],"Gaussian":[86,97,128,151],"textures.":[87],"First,":[88],"simple":[90],"procedure":[91],"for":[94,112,127],"estimating":[95],"based":[100],"exemplar,":[104],"which,":[105,145],"although":[106],"quite":[107],"naive,":[108],"sufficient":[110],"results":[111],"our":[113],"purpose.":[115],"Next,":[116],"conditional":[118,129],"sampling":[119],"step":[120,136],"solved":[122],"traditional":[125],"algorithm":[126,177],"simulation.":[130],"The":[131],"main":[132],"difficulty":[133],"solve":[139],"very":[141],"large":[142,182],"linear":[143],"system,":[144],"stationary":[150],"textures,":[152],"done":[155],"efficiently":[156],"conjugate":[159],"gradient":[160],"descent":[161],"(using":[162],"Fourier":[164],"representation":[165],"covariance":[168],"operator).":[169],"Several":[170],"experiments":[171],"show":[172],"that":[173,199],"corresponding":[175],"able":[179],"inpaint":[181],"holes":[183],"(of":[184],"any":[185],"shape)":[186],"texture,":[189],"reasonable":[192],"computational":[193],"time.":[194],"Moreover,":[195],"several":[196],"comparisons":[197],"illustrate":[198],"approach":[202],"performs":[203],"better":[204],"images":[207],"than":[208],"state-of-the-art":[209],"methods.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}