{"id":"https:\/\/openalex.org\/W4402727141","doi":"https:\/\/doi.org\/10.1109\/cvpr52733.2024.01832","title":"Deep Generative Model based Rate-Distortion for Image Downscaling Assessment","display_name":"Deep Generative Model based Rate-Distortion for Image Downscaling Assessment","publication_year":2024,"publication_date":"2024-06-16","ids":{"openalex":"https:\/\/openalex.org\/W4402727141","doi":"https:\/\/doi.org\/10.1109\/cvpr52733.2024.01832"},"language":"en","primary_location":{"id":"doi:10.1109\/cvpr52733.2024.01832","is_oa":false,"landing_page_url":"https:\/\/doi.org\/10.1109\/cvpr52733.2024.01832","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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\/A5069504297","display_name":"Yuanbang Liang","orcid":null},"institutions":[{"id":"https:\/\/openalex.org\/I79510175","display_name":"Cardiff University","ror":"https:\/\/ror.org\/03kk7td41","country_code":"GB","type":"education","lineage":["https:\/\/openalex.org\/I79510175"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Yuanbang Liang","raw_affiliation_strings":["School of Computer Science and Informatics, Cardiff University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Informatics, Cardiff University","institution_ids":["https:\/\/openalex.org\/I79510175"]}]},{"author_position":"middle","author":{"id":"https:\/\/openalex.org\/A5086524009","display_name":"Bhavesh Garg","orcid":"https:\/\/orcid.org\/0000-0003-2573-6084"},"institutions":[{"id":"https:\/\/openalex.org\/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https:\/\/ror.org\/02qyf5152","country_code":"IN","type":"education","lineage":["https:\/\/openalex.org\/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Bhavesh Garg","raw_affiliation_strings":["IIT Bombay & WadhwaniAI"],"affiliations":[{"raw_affiliation_string":"IIT Bombay & WadhwaniAI","institution_ids":["https:\/\/openalex.org\/I162827531"]}]},{"author_position":"middle","author":{"id":"https:\/\/openalex.org\/A5068129380","display_name":"Paul L. Rosin","orcid":"https:\/\/orcid.org\/0000-0002-4965-3884"},"institutions":[{"id":"https:\/\/openalex.org\/I79510175","display_name":"Cardiff University","ror":"https:\/\/ror.org\/03kk7td41","country_code":"GB","type":"education","lineage":["https:\/\/openalex.org\/I79510175"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Paul Rosin","raw_affiliation_strings":["School of Computer Science and Informatics, Cardiff University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Informatics, Cardiff University","institution_ids":["https:\/\/openalex.org\/I79510175"]}]},{"author_position":"last","author":{"id":"https:\/\/openalex.org\/A5034416956","display_name":"Yipeng Qin","orcid":"https:\/\/orcid.org\/0000-0002-1551-9126"},"institutions":[{"id":"https:\/\/openalex.org\/I79510175","display_name":"Cardiff University","ror":"https:\/\/ror.org\/03kk7td41","country_code":"GB","type":"education","lineage":["https:\/\/openalex.org\/I79510175"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yipeng Qin","raw_affiliation_strings":["School of Computer Science and Informatics, Cardiff University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Informatics, Cardiff University","institution_ids":["https:\/\/openalex.org\/I79510175"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https:\/\/openalex.org\/A5069504297"],"corresponding_institution_ids":["https:\/\/openalex.org\/I79510175"],"apc_list":null,"apc_paid":null,"fwci":0.2624,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53812815,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"19363","last_page":"19372"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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\/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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":0.9994000196456909,"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"}}],"keywords":[{"id":"https:\/\/openalex.org\/keywords\/downscaling","display_name":"Downscaling","score":0.874549388885498},{"id":"https:\/\/openalex.org\/keywords\/generative-grammar","display_name":"Generative grammar","score":0.6692612171173096},{"id":"https:\/\/openalex.org\/keywords\/distortion","display_name":"Distortion (music)","score":0.6508366465568542},{"id":"https:\/\/openalex.org\/keywords\/computer-science","display_name":"Computer science","score":0.6371181011199951},{"id":"https:\/\/openalex.org\/keywords\/artificial-intelligence","display_name":"Artificial intelligence","score":0.5450648665428162},{"id":"https:\/\/openalex.org\/keywords\/image","display_name":"Image (mathematics)","score":0.5440759658813477},{"id":"https:\/\/openalex.org\/keywords\/computer-vision","display_name":"Computer vision","score":0.3785988688468933},{"id":"https:\/\/openalex.org\/keywords\/geology","display_name":"Geology","score":0.09464490413665771},{"id":"https:\/\/openalex.org\/keywords\/telecommunications","display_name":"Telecommunications","score":0.08078032732009888}],"concepts":[{"id":"https:\/\/openalex.org\/C41156917","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q682831","display_name":"Downscaling","level":3,"score":0.874549388885498},{"id":"https:\/\/openalex.org\/C39890363","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q36108","display_name":"Generative grammar","level":2,"score":0.6692612171173096},{"id":"https:\/\/openalex.org\/C126780896","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q899871","display_name":"Distortion (music)","level":4,"score":0.6508366465568542},{"id":"https:\/\/openalex.org\/C41008148","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q21198","display_name":"Computer science","level":0,"score":0.6371181011199951},{"id":"https:\/\/openalex.org\/C154945302","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5450648665428162},{"id":"https:\/\/openalex.org\/C115961682","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5440759658813477},{"id":"https:\/\/openalex.org\/C31972630","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q844240","display_name":"Computer vision","level":1,"score":0.3785988688468933},{"id":"https:\/\/openalex.org\/C127313418","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q1069","display_name":"Geology","level":0,"score":0.09464490413665771},{"id":"https:\/\/openalex.org\/C76155785","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q418","display_name":"Telecommunications","level":1,"score":0.08078032732009888},{"id":"https:\/\/openalex.org\/C2776257435","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0},{"id":"https:\/\/openalex.org\/C194257627","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q211554","display_name":"Amplifier","level":3,"score":0},{"id":"https:\/\/openalex.org\/C132651083","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q7942","display_name":"Climate change","level":2,"score":0},{"id":"https:\/\/openalex.org\/C111368507","wikidata":"https:\/\/www.wikidata.org\/wiki\/Q43518","display_name":"Oceanography","level":1,"score":0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109\/cvpr52733.2024.01832","is_oa":false,"landing_page_url":"https:\/\/doi.org\/10.1109\/cvpr52733.2024.01832","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:https:\/\/orca.cardiff.ac.uk:167382","is_oa":false,"landing_page_url":"https:\/\/orca.cardiff.ac.uk\/view\/cardiffauthors\/A2662460Z.html>","pdf_url":null,"source":{"id":"https:\/\/openalex.org\/S4306401195","display_name":"ORCA Online Research @Cardiff (Cardiff University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https:\/\/openalex.org\/I79510175","host_organization_name":"Cardiff University","host_organization_lineage":["https:\/\/openalex.org\/I79510175"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https:\/\/openalex.org\/W1580389772","https:\/\/openalex.org\/W1982471090","https:\/\/openalex.org\/W1992605861","https:\/\/openalex.org\/W2035214377","https:\/\/openalex.org\/W2052547643","https:\/\/openalex.org\/W2102166818","https:\/\/openalex.org\/W2110475589","https:\/\/openalex.org\/W2133059825","https:\/\/openalex.org\/W2133665775","https:\/\/openalex.org\/W2135469284","https:\/\/openalex.org\/W2185175083","https:\/\/openalex.org\/W2526468814","https:\/\/openalex.org\/W2551276706","https:\/\/openalex.org\/W2563786098","https:\/\/openalex.org\/W2739227244","https:\/\/openalex.org\/W2770079654","https:\/\/openalex.org\/W2894234546","https:\/\/openalex.org\/W2903134811","https:\/\/openalex.org\/W2962770929","https:\/\/openalex.org\/W2962785568","https:\/\/openalex.org\/W2963684088","https:\/\/openalex.org\/W2983461872","https:\/\/openalex.org\/W2985068832","https:\/\/openalex.org\/W3034352949","https:\/\/openalex.org\/W3034600949","https:\/\/openalex.org\/W3035355202","https:\/\/openalex.org\/W3035574324","https:\/\/openalex.org\/W3082925443","https:\/\/openalex.org\/W3123020635","https:\/\/openalex.org\/W3150807214","https:\/\/openalex.org\/W3155072588","https:\/\/openalex.org\/W3174807077","https:\/\/openalex.org\/W3190235754","https:\/\/openalex.org\/W3203631022","https:\/\/openalex.org\/W3204937802","https:\/\/openalex.org\/W3204971388","https:\/\/openalex.org\/W3206177619","https:\/\/openalex.org\/W3210514413","https:\/\/openalex.org\/W4224267514","https:\/\/openalex.org\/W4320013936","https:\/\/openalex.org\/W4386302521","https:\/\/openalex.org\/W4400524387","https:\/\/openalex.org\/W6610566761","https:\/\/openalex.org\/W6663353339","https:\/\/openalex.org\/W6685352114","https:\/\/openalex.org\/W6741832134","https:\/\/openalex.org\/W6741917639","https:\/\/openalex.org\/W6754405603","https:\/\/openalex.org\/W6760782633","https:\/\/openalex.org\/W6770847983","https:\/\/openalex.org\/W6780781728","https:\/\/openalex.org\/W6786034937","https:\/\/openalex.org\/W6855261814","https:\/\/openalex.org\/W6856021141"],"related_works":["https:\/\/openalex.org\/W2394436593","https:\/\/openalex.org\/W3013458534","https:\/\/openalex.org\/W3010558748","https:\/\/openalex.org\/W2526815458","https:\/\/openalex.org\/W4220911053","https:\/\/openalex.org\/W2380042710","https:\/\/openalex.org\/W2944582722","https:\/\/openalex.org\/W4377833746","https:\/\/openalex.org\/W4387102043","https:\/\/openalex.org\/W769766909"],"abstract_inverted_index":{"In":[0,20,96],"this":[1,114],"paper,":[2],"we":[3],"propose":[4],"Image":[5],"Downscaling":[6],"Assessment":[7],"by":[8,137],"Rate-Distortion":[9],"(IDA-RD),":[10],"a":[11,73,154],"novel":[12],"measure":[13,26,42,113],"to":[14,22,41,88,112,122],"quantitatively":[15],"evaluate":[16],"image":[17,157],"downscaling":[18,53,74,105],"algorithms.":[19],"contrast":[21],"image-based":[23],"methods":[24],"that":[25,35,52,72,76,131,146],"the":[27,43,61,67,81,99,104,119,166],"quality":[28],"of":[29,168],"downscaled":[30],"images,":[31],"ours":[32],"is":[33,51,110,130,174],"process-based":[34],"draws":[36],"ideas":[37],"from":[38],"rate-distortion":[39,68],"theory":[40],"distortion":[44,100,115],"incurred":[45],"during":[46],"downscaling.":[47],"Our":[48,127,172],"main":[49],"idea":[50],"and":[54,63,71,125],"super-resolution":[55],"(SR)":[56],"can":[57,134,147],"be":[58,123,135],"viewed":[59],"as":[60,103,116],"encoding":[62],"decoding":[64],"processes":[65],"in":[66,80,94],"model,":[69],"respectively,":[70],"algorithm":[75,106,121],"preserves":[77],"more":[78],"details":[79],"resulting":[82],"low-resolution":[83],"(LR)":[84],"images":[85,93,152],"should":[86,101],"lead":[87],"less":[89],"dis-torted":[90],"high-resolution":[91],"(HR)":[92],"SR.":[95],"other":[97],"words,":[98],"increase":[102],"deteriorates.":[107],"However,":[108],"it":[109,117],"non-trivial":[111],"requires":[118],"SR":[120,139],"blind":[124],"stochastic.":[126],"key":[128],"insight":[129],"such":[132],"requirements":[133],"met":[136],"re-cent":[138],"algorithms":[140],"based":[141],"on":[142,158],"deep":[143],"generative":[144],"models":[145],"find":[148],"all":[149],"matching":[150],"HR":[151],"for":[153],"given":[155],"LR":[156],"their":[159],"learned":[160],"manifolds.":[161],"Extensive":[162],"experimental":[163],"results":[164],"show":[165],"effectiveness":[167],"our":[169],"IDA-RD":[170],"measure.":[171],"code":[173],"available":[175],"at:":[176],"https:\/\/github.com\/Byronliang8\/Ida-Rd":[177]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}