{"id":"https://openalex.org/W3137491246","doi":"https://doi.org/10.1145/1882261.1866171","title":"Diffusion maps for edge-aware image editing","display_name":"Diffusion maps for edge-aware image editing","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W3137491246","doi":"https://doi.org/10.1145/1882261.1866171","mag":"3137491246"},"language":"en","primary_location":{"id":"doi:10.1145/1882261.1866171","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1882261.1866171","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/A5025855868","display_name":"Zeev Farbman","orcid":null},"institutions":[{"id":"https://openalex.org/I121297525","display_name":"Hebrew College","ror":"https://ror.org/05y3p3k12","country_code":"US","type":"education","lineage":["https://openalex.org/I121297525"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zeev Farbman","raw_affiliation_strings":["The Hebrew University"],"affiliations":[{"raw_affiliation_string":"The Hebrew University","institution_ids":["https://openalex.org/I121297525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016079677","display_name":"Raanan Fattal","orcid":null},"institutions":[{"id":"https://openalex.org/I121297525","display_name":"Hebrew College","ror":"https://ror.org/05y3p3k12","country_code":"US","type":"education","lineage":["https://openalex.org/I121297525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raanan Fattal","raw_affiliation_strings":["The Hebrew University"],"affiliations":[{"raw_affiliation_string":"The Hebrew University","institution_ids":["https://openalex.org/I121297525"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091260693","display_name":"Dani Lischinski","orcid":"https://orcid.org/0000-0002-6191-0361"},"institutions":[{"id":"https://openalex.org/I121297525","display_name":"Hebrew College","ror":"https://ror.org/05y3p3k12","country_code":"US","type":"education","lineage":["https://openalex.org/I121297525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dani Lischinski","raw_affiliation_strings":["The Hebrew University"],"affiliations":[{"raw_affiliation_string":"The Hebrew University","institution_ids":["https://openalex.org/I121297525"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025855868"],"corresponding_institution_ids":["https://openalex.org/I121297525"],"apc_list":null,"apc_paid":null,"fwci":9.5614,"has_fulltext":false,"cited_by_count":90,"citation_normalized_percentile":{"value":0.98506871,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"29","issue":"6","first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9952999949455261,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9952999949455261,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9945999979972839,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9943000078201294,"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/pixel","display_name":"Pixel","score":0.6452019810676575},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5879629850387573},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5818442702293396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5504676699638367},{"id":"https://openalex.org/keywords/anisotropic-diffusion","display_name":"Anisotropic diffusion","score":0.5202637910842896},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5152361989021301},{"id":"https://openalex.org/keywords/euclidean-space","display_name":"Euclidean space","score":0.4945943057537079},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4703759551048279},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.4599134027957916},{"id":"https://openalex.org/keywords/monotonic-function","display_name":"Monotonic function","score":0.44913023710250854},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.44543012976646423},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4387784004211426},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43557772040367126},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.41062402725219727},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3940693438053131},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38311803340911865},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3544856607913971},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1249079704284668}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6452019810676575},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5879629850387573},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5818442702293396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5504676699638367},{"id":"https://openalex.org/C203504353","wikidata":"https://www.wikidata.org/wiki/Q4765461","display_name":"Anisotropic diffusion","level":3,"score":0.5202637910842896},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5152361989021301},{"id":"https://openalex.org/C186450821","wikidata":"https://www.wikidata.org/wiki/Q17295","display_name":"Euclidean space","level":2,"score":0.4945943057537079},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4703759551048279},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.4599134027957916},{"id":"https://openalex.org/C72169020","wikidata":"https://www.wikidata.org/wiki/Q194404","display_name":"Monotonic function","level":2,"score":0.44913023710250854},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.44543012976646423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4387784004211426},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43557772040367126},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.41062402725219727},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3940693438053131},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38311803340911865},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3544856607913971},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1249079704284668},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1882261.1866171","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1882261.1866171","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1528144695","https://openalex.org/W1963766113","https://openalex.org/W2001002651","https://openalex.org/W2001141328","https://openalex.org/W2002955791","https://openalex.org/W2022532533","https://openalex.org/W2035773017","https://openalex.org/W2040334833","https://openalex.org/W2053186076","https://openalex.org/W2086809533","https://openalex.org/W2096768337","https://openalex.org/W2097308346","https://openalex.org/W2105549229","https://openalex.org/W2109815552","https://openalex.org/W2116810533","https://openalex.org/W2120963736","https://openalex.org/W2125464731","https://openalex.org/W2125637308","https://openalex.org/W2136154655","https://openalex.org/W2141376824","https://openalex.org/W2141957843","https://openalex.org/W2148520845","https://openalex.org/W2148880081","https://openalex.org/W2150134853","https://openalex.org/W2155989469","https://openalex.org/W2159979951","https://openalex.org/W2171903410","https://openalex.org/W2293194425","https://openalex.org/W2998514558","https://openalex.org/W3138446083","https://openalex.org/W3139167831","https://openalex.org/W4213367101","https://openalex.org/W4241716071","https://openalex.org/W6676930901"],"related_works":["https://openalex.org/W1978572805","https://openalex.org/W2383807498","https://openalex.org/W2077314575","https://openalex.org/W1997992934","https://openalex.org/W1987225439","https://openalex.org/W4238188170","https://openalex.org/W4315701745","https://openalex.org/W1990290471","https://openalex.org/W4380682190","https://openalex.org/W2105228010"],"abstract_inverted_index":{"Edge-aware":[0],"operations,":[1],"such":[2],"as":[3,21,123],"edge-preserving":[4],"smoothing":[5],"and":[6,116,152],"edge-aware":[7],"interpolation,":[8],"require":[9],"assessing":[10],"the":[11,27,42,57,77,103,118,128,145,153],"degree":[12],"of":[13,17,26,44,60,76,80,95,105,112,120,130,155],"similarity":[14],"between":[15,30,144,149],"pairs":[16],"pixels,":[18,151],"typically":[19],"defined":[20],"a":[22,74,81,92,110,124,137,142],"simple":[23],"monotonic":[24],"function":[25],"Euclidean":[28,47],"distance":[29],"pixel":[31],"values":[32],"in":[33,62,109],"some":[34],"feature":[35,64],"space.":[36,65],"In":[37],"this":[38],"work":[39],"we":[40,135],"introduce":[41],"idea":[43],"replacing":[45],"these":[46],"distances":[48,51,67,108],"with":[49],"diffusion":[50,71,107,121],",":[52],"which":[53,85],"better":[54],"account":[55],"for":[56,126,158],"global":[58],"distribution":[59],"pixels":[61],"their":[63],"These":[66],"are":[68],"approximated":[69],"using":[70,106],"maps":[72,122],":":[73],"set":[75],"dominant":[78],"eigenvectors":[79],"large":[82],"affinity":[83],"matrix,":[84],"may":[86],"be":[87],"computed":[88],"efficiently":[89],"by":[90],"sampling":[91],"small":[93],"number":[94,154],"matrix":[96],"columns":[97],"(the":[98],"Nystr\u00f6m":[99,160],"method).":[100],"We":[101],"demonstrate":[102],"benefits":[104],"variety":[111],"image":[113],"editing":[114],"contexts,":[115],"explore":[117],"use":[119],"tool":[125],"facilitating":[127],"creation":[129],"complex":[131],"selection":[132],"masks.":[133],"Finally,":[134],"present":[136],"new":[138],"analysis":[139],"that":[140],"establishes":[141],"connection":[143],"spatial":[146],"interaction":[147],"range":[148],"two":[150],"samples":[156],"necessary":[157],"accurate":[159],"approximations.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":13},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":13}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
