{"id":"https://openalex.org/W2903134811","doi":"https://doi.org/10.1145/3272127.3275082","title":"Deep unsupervised pixelization","display_name":"Deep unsupervised pixelization","publication_year":2018,"publication_date":"2018-11-28","ids":{"openalex":"https://openalex.org/W2903134811","doi":"https://doi.org/10.1145/3272127.3275082","mag":"2903134811"},"language":"en","primary_location":{"id":"doi:10.1145/3272127.3275082","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3272127.3275082","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/A5016655901","display_name":"Chu Han","orcid":"https://orcid.org/0000-0001-7557-9131"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]},{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chu Han","raw_affiliation_strings":["The Chinese University of Hong Kong, and South China University of Technology"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, and South China University of Technology","institution_ids":["https://openalex.org/I90610280","https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100687076","display_name":"Qiang Wen","orcid":"https://orcid.org/0000-0002-9742-4760"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Wen","raw_affiliation_strings":["South China University of Technology"],"affiliations":[{"raw_affiliation_string":"South China University of Technology","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056103024","display_name":"Shengfeng He","orcid":"https://orcid.org/0000-0002-3802-4644"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengfeng He","raw_affiliation_strings":["South China University of Technology"],"affiliations":[{"raw_affiliation_string":"South China University of Technology","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042200318","display_name":"Qianshu Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianshu Zhu","raw_affiliation_strings":["South China University of Technology"],"affiliations":[{"raw_affiliation_string":"South China University of Technology","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101937251","display_name":"Yinjie Tan","orcid":"https://orcid.org/0000-0001-9150-4762"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinjie Tan","raw_affiliation_strings":["South China University of Technology"],"affiliations":[{"raw_affiliation_string":"South China University of Technology","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100682155","display_name":"Guoqiang Han","orcid":"https://orcid.org/0000-0002-9687-3900"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqiang Han","raw_affiliation_strings":["South China University of Technology"],"affiliations":[{"raw_affiliation_string":"South China University of Technology","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017857966","display_name":"Tien\u2010Tsin Wong","orcid":"https://orcid.org/0000-0002-7792-9307"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tien-Tsin Wong","raw_affiliation_strings":["The Chinese University of Hong Kong and Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology, SIAT"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong and Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology, SIAT","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5016655901"],"corresponding_institution_ids":["https://openalex.org/I177725633","https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":2.4435,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.92310164,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"37","issue":"6","first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9994000196456909,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9994000196456909,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9987999796867371,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9973000288009644,"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/computer-science","display_name":"Computer science","score":0.8014824986457825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7217385768890381},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6040511131286621},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5170548558235168},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.47714754939079285},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.4730222225189209},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3685505986213684},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28224799036979675}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8014824986457825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7217385768890381},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6040511131286621},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5170548558235168},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.47714754939079285},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.4730222225189209},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3685505986213684},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28224799036979675}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3272127.3275082","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3272127.3275082","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"},{"id":"pmh:oai:ink.library.smu.edu.sg:sis_research-9452","is_oa":false,"landing_page_url":"https://ink.library.smu.edu.sg/sis_research/8449","pdf_url":null,"source":{"id":"https://openalex.org/S4306401925","display_name":"Singapore Management University Institutional Knowledge (InK) (Singapore Management University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79891267","host_organization_name":"Singapore Management University","host_organization_lineage":["https://openalex.org/I79891267"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1145/3272127.3275082","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":26,"referenced_works":["https://openalex.org/W845365781","https://openalex.org/W1903029394","https://openalex.org/W1986676594","https://openalex.org/W1992605861","https://openalex.org/W1999406945","https://openalex.org/W2017522196","https://openalex.org/W2052547643","https://openalex.org/W2060716992","https://openalex.org/W2099471712","https://openalex.org/W2118246710","https://openalex.org/W2120877883","https://openalex.org/W2125389028","https://openalex.org/W2132282325","https://openalex.org/W2135479785","https://openalex.org/W2194775991","https://openalex.org/W2539933438","https://openalex.org/W2548275288","https://openalex.org/W2551276706","https://openalex.org/W2605287558","https://openalex.org/W2608015370","https://openalex.org/W2963073614","https://openalex.org/W2963522749","https://openalex.org/W2963709863","https://openalex.org/W3138711553","https://openalex.org/W4241614188","https://openalex.org/W4252713891"],"related_works":["https://openalex.org/W2062399876","https://openalex.org/W2607795551","https://openalex.org/W3155117723","https://openalex.org/W1991429770","https://openalex.org/W1983892167","https://openalex.org/W2281134365","https://openalex.org/W4310746709","https://openalex.org/W4385574037","https://openalex.org/W4386075645","https://openalex.org/W4306309518"],"abstract_inverted_index":{"In":[0,154],"this":[1],"paper,":[2],"we":[3,31],"present":[4],"a":[5,61,77],"novel":[6],"unsupervised":[7,34,137],"learning":[8,27,35],"method":[9,199,208],"for":[10,25,85],"pixelization.":[11],"Due":[12],"to":[13,37,105,124,129,144,166],"the":[14,21,43,47,57,65,90,119,126,130,134,139,146,152,164,197],"difficulty":[15],"in":[16,56,60,151,163,212],"creating":[17],"pixel":[18,107,168,188],"art,":[19],"preparing":[20],"paired":[22],"training":[23,69],"data":[24],"supervised":[26],"is":[28,142],"impractical.":[29],"Instead,":[30],"propose":[32],"an":[33],"framework":[36],"circumvent":[38],"such":[39],"difficulty.":[40],"We":[41,176,195],"leverage":[42],"dual":[44],"nature":[45],"of":[46,82,136,148,214],"pixelization":[48],"and":[49,51,112,122,158,174,184,217],"depixelization,":[50],"model":[52],"these":[53],"two":[54,72],"tasks":[55,73],"same":[58],"network":[59,79,121,165],"bi-directional":[62],"manner":[63],"with":[64,97,103,109,200],"input":[66,91],"itself":[67],"as":[68,76],"supervision.":[70],"These":[71],"are":[74,161],"modeled":[75],"cascaded":[78],"which":[80],"consists":[81],"three":[83],"stages":[84],"different":[86,98],"purposes.":[87],"GridNet":[88,104],"transfers":[89],"image":[92,192],"into":[93],"multi-scale":[94],"grid-structured":[95],"images":[96],"aliasing":[99],"effects.":[100],"PixelNet":[101],"associated":[102],"synthesize":[106,182],"arts":[108,169,189],"sharp":[110],"edges":[111],"perceptually":[113,185],"optimal":[114],"local":[115],"structures.":[116],"DepixelNet":[117],"connects":[118],"previous":[120],"aims":[123],"recover":[125],"pixelized":[127],"result":[128],"original":[131],"image.":[132],"For":[133],"sake":[135],"learning,":[138],"mirror":[140],"loss":[141],"proposed":[143,198,207],"hold":[145],"reversibility":[147],"feature":[149],"representations":[150],"process.":[153],"addition,":[155],"adversarial,":[156],"L1,":[157],"gradient":[159],"losses":[160],"involved":[162],"obtain":[167],"by":[170],"retaining":[171],"color":[172],"correctness":[173],"smoothness.":[175],"show":[177],"that":[178],"our":[179],"technique":[180],"can":[181],"crisper":[183],"more":[186],"appropriate":[187],"than":[190],"state-of-the-art":[191,210],"downscaling":[193],"methods.":[194],"evaluate":[196],"extensive":[201],"experiments":[202],"on":[203],"many":[204],"images.":[205],"The":[206],"outperforms":[209],"methods":[211],"terms":[213],"visual":[215],"quality":[216],"user":[218],"preference.":[219]},"counts_by_year":[{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
