{"id":"https://openalex.org/W4394002379","doi":"https://doi.org/10.1109/jetcas.2024.3385653","title":"Generative Refinement for Low Bitrate Image Coding Using Vector Quantized Residual","display_name":"Generative Refinement for Low Bitrate Image Coding Using Vector Quantized Residual","publication_year":2024,"publication_date":"2024-04-05","ids":{"openalex":"https://openalex.org/W4394002379","doi":"https://doi.org/10.1109/jetcas.2024.3385653"},"language":"en","primary_location":{"id":"doi:10.1109/jetcas.2024.3385653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jetcas.2024.3385653","pdf_url":null,"source":{"id":"https://openalex.org/S142323794","display_name":"IEEE Journal on Emerging and Selected Topics in Circuits and Systems","issn_l":"2156-3357","issn":["2156-3357","2156-3365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal on Emerging and Selected Topics in Circuits and Systems","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/A5113223292","display_name":"Yuzhuo Kong","orcid":"https://orcid.org/0009-0006-5829-0073"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuzhuo Kong","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089957493","display_name":"Ming Lu","orcid":"https://orcid.org/0000-0002-5044-8802"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Lu","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing, Jiangsu, China","Interdisciplinary Research Center for Future Intelligent Chips (Chip-X), Nanjing University, Suzhou, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"Interdisciplinary Research Center for Future Intelligent Chips (Chip-X), Nanjing University, Suzhou, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073914656","display_name":"Zhan Ma","orcid":"https://orcid.org/0000-0003-3686-4057"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhan Ma","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5113223292"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":0.4986,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61063408,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"14","issue":"2","first_page":"185","last_page":"197"},"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":0.9988999962806702,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9988999962806702,"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":0.683943510055542},{"id":"https://openalex.org/keywords/codebook","display_name":"Codebook","score":0.6323705911636353},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6078563928604126},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.6041485071182251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5899362564086914},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.537879228591919},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5120437741279602},{"id":"https://openalex.org/keywords/uncompressed-video","display_name":"Uncompressed video","score":0.4843081533908844},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.46360528469085693},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4286355674266815},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4174041152000427},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40054944157600403},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.29033082723617554},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23345094919204712},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.11241739988327026}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.683943510055542},{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.6323705911636353},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6078563928604126},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.6041485071182251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5899362564086914},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.537879228591919},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5120437741279602},{"id":"https://openalex.org/C162478608","wikidata":"https://www.wikidata.org/wiki/Q4011369","display_name":"Uncompressed video","level":4,"score":0.4843081533908844},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.46360528469085693},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4286355674266815},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4174041152000427},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40054944157600403},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.29033082723617554},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23345094919204712},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.11241739988327026},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jetcas.2024.3385653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jetcas.2024.3385653","pdf_url":null,"source":{"id":"https://openalex.org/S142323794","display_name":"IEEE Journal on Emerging and Selected Topics in Circuits and Systems","issn_l":"2156-3357","issn":["2156-3357","2156-3365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal on Emerging and Selected Topics in Circuits and Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8505359809","display_name":null,"funder_award_id":"U20A20184","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W1634005169","https://openalex.org/W1686810756","https://openalex.org/W2118217749","https://openalex.org/W2162168771","https://openalex.org/W2187089797","https://openalex.org/W2552465432","https://openalex.org/W2739757502","https://openalex.org/W2741137940","https://openalex.org/W2752796333","https://openalex.org/W2766596763","https://openalex.org/W2785562966","https://openalex.org/W2891810238","https://openalex.org/W2893920456","https://openalex.org/W2950217418","https://openalex.org/W2962676454","https://openalex.org/W2962785568","https://openalex.org/W2962891349","https://openalex.org/W2981613960","https://openalex.org/W2997572967","https://openalex.org/W3017235483","https://openalex.org/W3034469748","https://openalex.org/W3035294152","https://openalex.org/W3091266734","https://openalex.org/W3097448661","https://openalex.org/W3116647679","https://openalex.org/W3131427579","https://openalex.org/W3160589897","https://openalex.org/W3173910370","https://openalex.org/W3180355996","https://openalex.org/W3201765774","https://openalex.org/W3204971388","https://openalex.org/W3205937945","https://openalex.org/W3206996732","https://openalex.org/W4223425316","https://openalex.org/W4224952155","https://openalex.org/W4283373024","https://openalex.org/W4285069933","https://openalex.org/W4285604424","https://openalex.org/W4287605633","https://openalex.org/W4288804960","https://openalex.org/W4311415873","https://openalex.org/W4312289667","https://openalex.org/W4312400623","https://openalex.org/W4312597589","https://openalex.org/W4312806968","https://openalex.org/W4313021454","https://openalex.org/W4318350438","https://openalex.org/W4386065641","https://openalex.org/W4386071691","https://openalex.org/W4387725077","https://openalex.org/W6637373629","https://openalex.org/W6738494155","https://openalex.org/W6751862702","https://openalex.org/W6751903863","https://openalex.org/W6754634825","https://openalex.org/W6755487101","https://openalex.org/W6758681311","https://openalex.org/W6758867260","https://openalex.org/W6762931180","https://openalex.org/W6765779288","https://openalex.org/W6766595736","https://openalex.org/W6780365925","https://openalex.org/W6810638181","https://openalex.org/W6839082156","https://openalex.org/W6839932721","https://openalex.org/W6848811737","https://openalex.org/W6849095040","https://openalex.org/W6857419123","https://openalex.org/W6954875051"],"related_works":["https://openalex.org/W2148772884","https://openalex.org/W2017514583","https://openalex.org/W2100120615","https://openalex.org/W2147406819","https://openalex.org/W2352648934","https://openalex.org/W1929869830","https://openalex.org/W2387054321","https://openalex.org/W2017401491","https://openalex.org/W2062765737","https://openalex.org/W2012827167"],"abstract_inverted_index":{"Despite":[0],"the":[1,10,21,29,40,86,125,136],"significant":[2],"progress":[3],"in":[4,99],"recent":[5],"deep":[6],"learning-based":[7,152],"image":[8,71,76,88,128],"compression,":[9],"reconstructed":[11],"visual":[12],"quality":[13],"still":[14],"suffers":[15],"at":[16],"low":[17],"bitrates":[18],"due":[19],"to":[20,38,64,68,95,148],"lack":[22],"of":[23,45],"high-frequency":[24,48,66,115],"information.":[25],"Existing":[26],"methods":[27],"deploy":[28],"generative":[30,105,127],"adversarial":[31],"networks":[32],"(GANs)":[33],"as":[34,159],"an":[35,70],"additional":[36],"loss":[37],"supervise":[39],"rate-distortion":[41],"(R-D)":[42],"optimization,":[43],"capable":[44],"producing":[46],"more":[47],"components":[49],"for":[50,103,163],"visually":[51],"pleasing":[52],"reconstruction":[53,72],"but":[54],"also":[55],"introducing":[56],"unexpected":[57],"fake":[58],"textures.":[59],"This":[60],"work,":[61],"instead,":[62],"proposes":[63],"generate":[65],"residuals":[67],"refine":[69],"compressed":[73,119],"using":[74,139],"existing":[75],"compression":[77,129,153],"solutions.":[78],"Such":[79],"a":[80,100,160],"residual":[81,142],"signal":[82],"is":[83],"calculated":[84],"between":[85],"decoded":[87],"and":[89,93,123,146,151],"its":[90],"uncompressed":[91],"input":[92],"quantized":[94,141],"proper":[96],"codeword":[97],"vectors":[98],"learnable":[101],"codebook":[102],"decoder-side":[104],"refinement.":[106],"Extensive":[107],"experiments":[108],"demonstrate":[109],"that":[110],"our":[111],"method":[112,138],"can":[113,156],"restore":[114],"information":[116],"given":[117],"images":[118],"by":[120],"any":[121],"codecs":[122],"outperform":[124],"state-of-the-art":[126],"algorithms":[130],"or":[131],"perceptual-oriented":[132],"post-processing":[133],"approaches.":[134],"Moreover,":[135],"proposed":[137],"vector":[140],"exhibits":[143],"remarkable":[144],"robustness":[145],"generalizes":[147],"both":[149],"rules-based":[150],"models,":[154],"which":[155],"be":[157],"used":[158],"plug-and-play":[161],"module":[162],"perceptual":[164],"optimization":[165],"without":[166],"re-training.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-29T08:15:47.926485","created_date":"2025-10-10T00:00:00"}
