{"id":"https://openalex.org/W4385815511","doi":"https://doi.org/10.1109/cvprw59228.2023.00134","title":"High-Perceptual Quality JPEG Decoding via Posterior Sampling","display_name":"High-Perceptual Quality JPEG Decoding via Posterior Sampling","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4385815511","doi":"https://doi.org/10.1109/cvprw59228.2023.00134"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw59228.2023.00134","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw59228.2023.00134","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","raw_type":"proceedings-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/A5012692590","display_name":"Sean Man","orcid":"https://orcid.org/0009-0008-0174-4008"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Sean Man","raw_affiliation_strings":["Technion - Israel Institute of Technology,Haifa,Israel","Technion - Israel Institute of Technology, Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"Technion - Israel Institute of Technology,Haifa,Israel","institution_ids":["https://openalex.org/I174306211"]},{"raw_affiliation_string":"Technion - Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030762660","display_name":"Guy Ohayon","orcid":"https://orcid.org/0009-0008-5112-6558"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Guy Ohayon","raw_affiliation_strings":["Technion - Israel Institute of Technology,Haifa,Israel","Technion - Israel Institute of Technology, Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"Technion - Israel Institute of Technology,Haifa,Israel","institution_ids":["https://openalex.org/I174306211"]},{"raw_affiliation_string":"Technion - Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009242404","display_name":"Theo Adrai","orcid":null},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Theo Adrai","raw_affiliation_strings":["Technion - Israel Institute of Technology,Haifa,Israel","Technion - Israel Institute of Technology, Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"Technion - Israel Institute of Technology,Haifa,Israel","institution_ids":["https://openalex.org/I174306211"]},{"raw_affiliation_string":"Technion - Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020279598","display_name":"Michael Elad","orcid":"https://orcid.org/0000-0001-8131-6928"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Michael Elad","raw_affiliation_strings":["Technion - Israel Institute of Technology,Haifa,Israel","Technion - Israel Institute of Technology, Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"Technion - Israel Institute of Technology,Haifa,Israel","institution_ids":["https://openalex.org/I174306211"]},{"raw_affiliation_string":"Technion - Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5012692590"],"corresponding_institution_ids":["https://openalex.org/I174306211"],"apc_list":null,"apc_paid":null,"fwci":0.1228,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4026005,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1272","last_page":"1282"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":1.0,"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/T10688","display_name":"Image and Signal Denoising Methods","score":1.0,"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":0.9998999834060669,"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/T10901","display_name":"Advanced Data Compression Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.736009955406189},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6856119632720947},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.45422792434692383},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.44487258791923523},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4444628059864044},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4360138475894928},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4214558005332947},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.26554298400878906},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.13568350672721863},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11314654350280762},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.05034169554710388}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.736009955406189},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6856119632720947},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.45422792434692383},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.44487258791923523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4444628059864044},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4360138475894928},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4214558005332947},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.26554298400878906},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13568350672721863},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11314654350280762},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.05034169554710388},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvprw59228.2023.00134","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw59228.2023.00134","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1572380564","https://openalex.org/W1686810756","https://openalex.org/W1978280057","https://openalex.org/W1985050490","https://openalex.org/W1991244327","https://openalex.org/W2018942646","https://openalex.org/W2050912865","https://openalex.org/W2108598243","https://openalex.org/W2110158442","https://openalex.org/W2110691818","https://openalex.org/W2125350829","https://openalex.org/W2125389028","https://openalex.org/W2132827087","https://openalex.org/W2139984700","https://openalex.org/W2140196014","https://openalex.org/W2142683286","https://openalex.org/W2161907179","https://openalex.org/W2165213254","https://openalex.org/W2165902704","https://openalex.org/W2171286886","https://openalex.org/W2194775991","https://openalex.org/W2331128040","https://openalex.org/W2466611277","https://openalex.org/W2519021537","https://openalex.org/W2553668389","https://openalex.org/W2556068545","https://openalex.org/W2557216475","https://openalex.org/W2739757502","https://openalex.org/W2741137940","https://openalex.org/W2760103357","https://openalex.org/W2768814045","https://openalex.org/W2792263949","https://openalex.org/W2911590151","https://openalex.org/W2962770929","https://openalex.org/W2962930383","https://openalex.org/W2995170449","https://openalex.org/W3003583818","https://openalex.org/W3098418424","https://openalex.org/W3109737331","https://openalex.org/W3160345508","https://openalex.org/W3204971388","https://openalex.org/W3207092584","https://openalex.org/W3207918547","https://openalex.org/W3212516020","https://openalex.org/W4214609808","https://openalex.org/W4301206121","https://openalex.org/W4309402311","https://openalex.org/W4312596228","https://openalex.org/W4320013936","https://openalex.org/W6631190155","https://openalex.org/W6678815747","https://openalex.org/W6749927861","https://openalex.org/W6765779288","https://openalex.org/W6781810459","https://openalex.org/W6803376173","https://openalex.org/W6846380896"],"related_works":["https://openalex.org/W4322741006","https://openalex.org/W3203142394","https://openalex.org/W2120205576","https://openalex.org/W2161474341","https://openalex.org/W2134324324","https://openalex.org/W4302615923","https://openalex.org/W1974101135","https://openalex.org/W2351061015","https://openalex.org/W2017509870","https://openalex.org/W4220731478"],"abstract_inverted_index":{"JPEG":[0,63],"is":[1,39,68,75],"arguably":[2],"the":[3,31,40,71,94,109,124,161],"most":[4,36],"popular":[5],"image":[6],"coding":[7],"format,":[8],"achieving":[9],"high":[10,76],"compression":[11],"ratios":[12],"via":[13],"lossy":[14],"quantization":[15],"that":[16,46],"may":[17],"create":[18],"visual":[19],"artifacts":[20,27],"degradation.":[21],"Numerous":[22],"attempts":[23],"to":[24,35,81,154],"remove":[25],"these":[26,38],"were":[28],"conceived":[29],"over":[30],"years,":[32],"and":[33,70,85,135,151,163],"common":[34],"of":[37,42,133,157],"use":[41],"deterministic":[43],"post-processing":[44],"algorithms":[45],"optimize":[47],"some":[48],"distortion":[49],"measure":[50],"(e.g.,":[51],"PSNR,":[52],"SSIM).":[53],"In":[54],"this":[55],"paper":[56],"we":[57,73],"propose":[58],"a":[59,103,114,121,130,139,155],"different":[60],"paradigm":[61],"for":[62,138],"artifact":[64],"correction:":[65],"Our":[66,127],"method":[67],"stochastic,":[69],"objective":[72],"target":[74],"perceptual":[77],"quality":[78],"\u2013":[79],"striving":[80],"obtain":[82],"sharp,":[83],"detailed":[84],"visually":[86],"pleasing":[87],"reconstructed":[88],"images,":[89],"while":[90],"being":[91],"consistent":[92],"with":[93,142],"compressed":[95,110],"input.":[96],"These":[97],"goals":[98],"are":[99],"achieved":[100],"by":[101,113],"training":[102],"stochastic":[104],"conditional":[105],"generator":[106],"(conditioned":[107],"on":[108,160],"input),":[111],"accompanied":[112],"theoretically":[115],"well-founded":[116],"loss":[117],"term,":[118],"resulting":[119],"in":[120],"sampler":[122],"from":[123],"posterior":[125],"distribution.":[126],"solution":[128],"offers":[129],"diverse":[131],"set":[132],"plausible":[134],"fast":[136],"reconstructions":[137],"given":[140],"input":[141],"perfect":[143],"consistency.":[144],"We":[145],"demonstrate":[146],"our":[147],"scheme\u2019s":[148],"unique":[149],"properties":[150],"its":[152],"superiority":[153],"variety":[156],"alternative":[158],"methods":[159],"FFHQ":[162],"ImageNet":[164],"datasets.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}