{"id":"https://openalex.org/W3160998073","doi":"https://doi.org/10.1145/3015461","title":"Deep Correlations for Texture Synthesis","display_name":"Deep Correlations for Texture Synthesis","publication_year":2017,"publication_date":"2017-07-25","ids":{"openalex":"https://openalex.org/W3160998073","doi":"https://doi.org/10.1145/3015461","mag":"3160998073"},"language":"en","primary_location":{"id":"doi:10.1145/3015461","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3015461","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},"type":"article","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/A5037433572","display_name":"Omry Sendik","orcid":"https://orcid.org/0000-0002-9268-8281"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Omry Sendik","raw_affiliation_strings":["Tel-Aviv University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tel-Aviv University","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036688260","display_name":"Daniel Cohen\u2010Or","orcid":"https://orcid.org/0000-0001-6777-7445"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Daniel Cohen-Or","raw_affiliation_strings":["Tel-Aviv University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tel-Aviv University","institution_ids":["https://openalex.org/I16391192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16391192"],"apc_list":null,"apc_paid":null,"fwci":1.939,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.90708099,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"36","issue":"5","first_page":"1","last_page":"15"},"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":0.9987000226974487,"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":0.9987000226974487,"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":0.9932000041007996,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9855999946594238,"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/texture-synthesis","display_name":"Texture synthesis","score":0.8465276956558228},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.8045235276222229},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7396007776260376},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7086953520774841},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6896363496780396},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5719507932662964},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5578711628913879},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.44298309087753296},{"id":"https://openalex.org/keywords/texture-filtering","display_name":"Texture filtering","score":0.42918428778648376},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.3769073188304901},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23623770475387573},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.13106587529182434}],"concepts":[{"id":"https://openalex.org/C50494287","wikidata":"https://www.wikidata.org/wiki/Q658467","display_name":"Texture synthesis","level":5,"score":0.8465276956558228},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.8045235276222229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7396007776260376},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7086953520774841},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6896363496780396},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5719507932662964},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5578711628913879},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.44298309087753296},{"id":"https://openalex.org/C144743038","wikidata":"https://www.wikidata.org/wiki/Q3267765","display_name":"Texture filtering","level":5,"score":0.42918428778648376},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.3769073188304901},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23623770475387573},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.13106587529182434}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3015461","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3015461","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1941325251","https://openalex.org/W1963882359","https://openalex.org/W1967577110","https://openalex.org/W1975049209","https://openalex.org/W1979849262","https://openalex.org/W1981782146","https://openalex.org/W1999360130","https://openalex.org/W2000359198","https://openalex.org/W2005758810","https://openalex.org/W2042371054","https://openalex.org/W2078790577","https://openalex.org/W2127006916","https://openalex.org/W2140207570","https://openalex.org/W2145560214","https://openalex.org/W2147823818","https://openalex.org/W2149521538","https://openalex.org/W2161208721","https://openalex.org/W2232702494","https://openalex.org/W2275363859","https://openalex.org/W2331128040","https://openalex.org/W2346482497","https://openalex.org/W2475362300","https://openalex.org/W6629018540"],"related_works":["https://openalex.org/W1975273303","https://openalex.org/W2743128629","https://openalex.org/W2088533214","https://openalex.org/W1969438288","https://openalex.org/W2987385138","https://openalex.org/W2365641137","https://openalex.org/W1983661653","https://openalex.org/W2099544729","https://openalex.org/W1980033651","https://openalex.org/W2315247042"],"abstract_inverted_index":{"Example-based":[0],"texture":[1,28],"synthesis":[2,29],"has":[3],"been":[4],"an":[5],"active":[6],"research":[7],"problem":[8],"for":[9],"over":[10],"two":[11],"decades.":[12],"Still,":[13],"synthesizing":[14],"textures":[15,72],"with":[16],"nonlocal":[17],"structures":[18,75],"remains":[19],"a":[20,27,46],"challenge.":[21],"In":[22],"this":[23],"article,":[24],"we":[25,65],"present":[26],"technique":[30,69],"that":[31,67,73],"builds":[32],"upon":[33],"convolutional":[34],"neural":[35],"networks":[36],"and":[37,59,80,82],"extracted":[38],"statistics":[39],"of":[40,76,85],"pretrained":[41],"deep":[42,53],"features.":[43],"We":[44],"introduce":[45],"structural":[47],"energy,":[48],"based":[49],"on":[50],"correlations":[51],"among":[52],"features,":[54],"which":[55],"capture":[56],"the":[57,62,83,86],"self-similarities":[58],"regularities":[60],"characterizing":[61],"texture.":[63],"Specifically,":[64],"show":[66],"our":[68],"can":[70],"synthesize":[71],"have":[74],"various":[77],"scales,":[78],"local":[79],"nonlocal,":[81],"combination":[84],"two.":[87]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}