{"id":"https://openalex.org/W2076491823","doi":"https://doi.org/10.1145/2601097.2601206","title":"Intrinsic images in the wild","display_name":"Intrinsic images in the wild","publication_year":2014,"publication_date":"2014-07-22","ids":{"openalex":"https://openalex.org/W2076491823","doi":"https://doi.org/10.1145/2601097.2601206","mag":"2076491823"},"language":"en","primary_location":{"id":"doi:10.1145/2601097.2601206","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2601097.2601206","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/A5071650241","display_name":"Sean Bell","orcid":null},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sean Bell","raw_affiliation_strings":["Cornell University"],"affiliations":[{"raw_affiliation_string":"Cornell University","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087263986","display_name":"Kavita Bala","orcid":"https://orcid.org/0000-0001-9761-6503"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kavita Bala","raw_affiliation_strings":["Cornell University"],"affiliations":[{"raw_affiliation_string":"Cornell University","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085248097","display_name":"Noah Snavely","orcid":"https://orcid.org/0000-0002-6921-6833"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Noah Snavely","raw_affiliation_strings":["Cornell University"],"affiliations":[{"raw_affiliation_string":"Cornell University","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071650241"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":19.9914,"has_fulltext":false,"cited_by_count":397,"citation_normalized_percentile":{"value":0.99574351,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"33","issue":"4","first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9997000098228455,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9997000098228455,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9979000091552734,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9951000213623047,"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/ground-truth","display_name":"Ground truth","score":0.714490532875061},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6844865083694458},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.6615345478057861},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6113541126251221},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.55136638879776},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5455204844474792},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5205396413803101},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5068934559822083},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.4266166687011719},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3940110504627228},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.25108903646469116},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13119980692863464},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.10952013731002808}],"concepts":[{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.714490532875061},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6844865083694458},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.6615345478057861},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6113541126251221},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.55136638879776},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5455204844474792},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5205396413803101},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5068934559822083},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.4266166687011719},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3940110504627228},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.25108903646469116},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13119980692863464},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.10952013731002808},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2601097.2601206","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2601097.2601206","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":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G7781746651","display_name":null,"funder_award_id":"IIS-1149393, IIS-1011919, IIS-1161645","funder_id":"https://openalex.org/F4320337389","funder_display_name":"Division of Information and Intelligent Systems"}],"funders":[{"id":"https://openalex.org/F4320307102","display_name":"Intel Corporation","ror":"https://ror.org/01ek73717"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"},{"id":"https://openalex.org/F4320337389","display_name":"Division of Information and Intelligent Systems","ror":"https://ror.org/053a2cp42"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W9014458","https://openalex.org/W27675589","https://openalex.org/W1511909101","https://openalex.org/W1513440577","https://openalex.org/W1964772475","https://openalex.org/W1969874727","https://openalex.org/W1974234071","https://openalex.org/W1982762150","https://openalex.org/W1985949187","https://openalex.org/W2000014182","https://openalex.org/W2006070214","https://openalex.org/W2010812559","https://openalex.org/W2020733757","https://openalex.org/W2027560260","https://openalex.org/W2039637700","https://openalex.org/W2048935419","https://openalex.org/W2055302526","https://openalex.org/W2060414163","https://openalex.org/W2078051584","https://openalex.org/W2083779601","https://openalex.org/W2087257250","https://openalex.org/W2091247382","https://openalex.org/W2093130305","https://openalex.org/W2100297733","https://openalex.org/W2101856619","https://openalex.org/W2103490241","https://openalex.org/W2104166077","https://openalex.org/W2113404166","https://openalex.org/W2116919352","https://openalex.org/W2117751343","https://openalex.org/W2120419212","https://openalex.org/W2123785012","https://openalex.org/W2136748901","https://openalex.org/W2149233602","https://openalex.org/W2149273804","https://openalex.org/W2154423567","https://openalex.org/W2157070558","https://openalex.org/W2161236525","https://openalex.org/W2164847484","https://openalex.org/W2165915693","https://openalex.org/W3136413417","https://openalex.org/W3138966361","https://openalex.org/W4214725772"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W1503094549","https://openalex.org/W4384486036","https://openalex.org/W135177976","https://openalex.org/W2337920774","https://openalex.org/W4318823662","https://openalex.org/W2886410948","https://openalex.org/W4323323165","https://openalex.org/W4386066345","https://openalex.org/W2745033168"],"abstract_inverted_index":{"Intrinsic":[0,45,90,179],"image":[1,5,16,103,163,177,180],"decomposition":[2,17,181],"separates":[3],"an":[4],"into":[6],"a":[7,11,19,62,74,96,132,137,159,172,183],"reflectance":[8],"layer":[9],"and":[10,67,79,140,190],"shading":[12],"layer.":[13],"Automatic":[14],"intrinsic":[15,102,162,176],"remains":[18,182],"significant":[20],"challenge,":[21],"particularly":[22],"for":[23,100,165],"real-world":[24,71],"scenes.":[25,107],"Advances":[26],"on":[27,197],"this":[28,86,110,198],"longstanding":[29],"problem":[30],"have":[31],"been":[32],"spurred":[33],"by":[34,82],"public":[35,98],"datasets":[36,60],"of":[37,51,65,77,105,114,117,120,125,144,174],"ground":[38,53],"truth":[39,54],"data,":[40],"such":[41,59],"as":[42],"the":[43,49,93,142,168],"MIT":[44],"Images":[46,91],"dataset.":[47],"However,":[48],"difficulty":[50],"acquiring":[52,136],"data":[55],"has":[56],"meant":[57],"that":[58,170],"cover":[61],"small":[63],"range":[64,76,173],"materials":[66],"objects.":[68],"In":[69,85],"contrast,":[70],"scenes":[72],"contain":[73],"rich":[75],"shapes":[78],"materials,":[80],"lit":[81],"complex":[83],"illumination.":[84,153],"paper":[87],"we":[88,157,186],"introduce":[89],"in":[92,127,152,167],"Wild":[94],",":[95],"large-scale,":[97],"dataset":[99],"evaluating":[101],"decompositions":[104],"indoor":[106],"We":[108],"create":[109],"benchmark":[111],"through":[112],"millions":[113],"crowdsourced":[115],"annotations":[116],"relative":[118],"comparisons":[119],"material":[121,148],"properties":[122],"at":[123,202],"pairs":[124],"points":[126],"each":[128],"scene.":[129],"Crowdsourcing":[130],"enables":[131],"scalable":[133],"approach":[134],"to":[135,146,193],"large":[138],"database,":[139,156],"uses":[141],"ability":[143],"humans":[145],"judge":[147],"comparisons,":[149],"despite":[150],"variations":[151],"Given":[154],"our":[155,188],"develop":[158],"dense":[160],"CRF-based":[161],"algorithm":[164],"images":[166],"wild":[169],"outperforms":[171],"state-of-the-art":[175],"algorithms.":[178],"challenging":[184],"problem;":[185],"release":[187],"code":[189],"database":[191],"publicly":[192],"support":[194],"future":[195],"research":[196],"problem,":[199],"available":[200],"online":[201],"http://intrinsic.cs.cornell.edu/.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":40},{"year":2022,"cited_by_count":28},{"year":2021,"cited_by_count":51},{"year":2020,"cited_by_count":51},{"year":2019,"cited_by_count":45},{"year":2018,"cited_by_count":55},{"year":2017,"cited_by_count":36},{"year":2016,"cited_by_count":24},{"year":2015,"cited_by_count":19},{"year":2014,"cited_by_count":2}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}
