{"id":"https://openalex.org/W4406089979","doi":"https://doi.org/10.1109/tip.2024.3523800","title":"Diffusion Model-Based Visual Compensation Guidance and Visual Difference Analysis for No-Reference Image Quality Assessment","display_name":"Diffusion Model-Based Visual Compensation Guidance and Visual Difference Analysis for No-Reference Image Quality Assessment","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406089979","doi":"https://doi.org/10.1109/tip.2024.3523800","pmid":"https://pubmed.ncbi.nlm.nih.gov/40030878"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2024.3523800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3523800","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100356545","display_name":"Zhaoyang Wang","orcid":"https://orcid.org/0009-0001-6412-5799"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoyang Wang","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi’an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0009-0001-6412-5799","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101549477","display_name":"Bo Hu","orcid":"https://orcid.org/0000-0002-1842-2856"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Hu","raw_affiliation_strings":["Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-1842-2856","affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100432821","display_name":"Mingyang Zhang","orcid":"https://orcid.org/0000-0002-9768-516X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyang Zhang","raw_affiliation_strings":["Key Laboratory of Collaborative Intelligent Systems, Ministry of Education, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-9768-516X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Collaborative Intelligent Systems, Ministry of Education, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100642867","display_name":"Jie Li","orcid":"https://orcid.org/0000-0001-7950-4233"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Li","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi’an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0001-7950-4233","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033615240","display_name":"Leida Li","orcid":"https://orcid.org/0000-0001-9069-8796"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leida Li","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0001-9069-8796","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091227928","display_name":"Maoguo Gong","orcid":"https://orcid.org/0000-0002-0415-8556"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I22046295","display_name":"Inner Mongolia Normal University","ror":"https://ror.org/0497ase59","country_code":"CN","type":"education","lineage":["https://openalex.org/I22046295"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maoguo Gong","raw_affiliation_strings":["Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi’an, China","College of Mathematical Science, Inner Mongolia Normal University, Hohhot, China"],"raw_orcid":"https://orcid.org/0000-0002-0415-8556","affiliations":[{"raw_affiliation_string":"Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"College of Mathematical Science, Inner Mongolia Normal University, Hohhot, China","institution_ids":["https://openalex.org/I22046295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101785348","display_name":"Xinbo Gao","orcid":"https://orcid.org/0000-0002-7985-0037"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]},{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinbo Gao","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi’an, China","Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-7985-0037","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.1863,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.98065697,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"34","issue":null,"first_page":"263","last_page":"278"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","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/T11165","display_name":"Image and Video Quality Assessment","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/T11019","display_name":"Image Enhancement Techniques","score":0.9902999997138977,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7873914241790771},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7575439214706421},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.633140504360199},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6076415777206421},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5459174513816833},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.48213526606559753},{"id":"https://openalex.org/keywords/quality-score","display_name":"Quality Score","score":0.4529513120651245},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4356750249862671},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43551111221313477},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.42598506808280945},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41308310627937317},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41014382243156433},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4009442925453186},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38207435607910156},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3245247006416321}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7873914241790771},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7575439214706421},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.633140504360199},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6076415777206421},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5459174513816833},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.48213526606559753},{"id":"https://openalex.org/C2779346075","wikidata":"https://www.wikidata.org/wiki/Q7268763","display_name":"Quality Score","level":3,"score":0.4529513120651245},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4356750249862671},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43551111221313477},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.42598506808280945},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41308310627937317},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41014382243156433},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4009442925453186},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38207435607910156},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3245247006416321},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2024.3523800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3523800","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:40030878","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40030878","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2526437637","display_name":null,"funder_award_id":"CSTB2023NSCQ-BHX0187","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"},{"id":"https://openalex.org/G3145998761","display_name":null,"funder_award_id":"62101084","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3453920714","display_name":null,"funder_award_id":"62221005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6468169989","display_name":null,"funder_award_id":"62171340","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7675742706","display_name":null,"funder_award_id":"CSTB2023NSCQ-LZX0085","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"},{"id":"https://openalex.org/G913836228","display_name":null,"funder_award_id":"62036007","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"},{"id":"https://openalex.org/F4320323172","display_name":"Natural Science Foundation of Chongqing","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1974013408","https://openalex.org/W1982471090","https://openalex.org/W1987489060","https://openalex.org/W2051596736","https://openalex.org/W2068403421","https://openalex.org/W2129644086","https://openalex.org/W2140094223","https://openalex.org/W2148848374","https://openalex.org/W2161907179","https://openalex.org/W2171349048","https://openalex.org/W2286686646","https://openalex.org/W2321545007","https://openalex.org/W2466606639","https://openalex.org/W2473697052","https://openalex.org/W2509409836","https://openalex.org/W2556068545","https://openalex.org/W2563786098","https://openalex.org/W2594112328","https://openalex.org/W2765934933","https://openalex.org/W2767836774","https://openalex.org/W2768340063","https://openalex.org/W2773173150","https://openalex.org/W2903193781","https://openalex.org/W2905544033","https://openalex.org/W2911118516","https://openalex.org/W2953590133","https://openalex.org/W2963596827","https://openalex.org/W2963975576","https://openalex.org/W2964065910","https://openalex.org/W3002992380","https://openalex.org/W3009561768","https://openalex.org/W3035719652","https://openalex.org/W3091249416","https://openalex.org/W3100404621","https://openalex.org/W3102733987","https://openalex.org/W3106603783","https://openalex.org/W3135955502","https://openalex.org/W3155072588","https://openalex.org/W3160481250","https://openalex.org/W3176592254","https://openalex.org/W3194280054","https://openalex.org/W3209753567","https://openalex.org/W3210514413","https://openalex.org/W4210361933","https://openalex.org/W4214745154","https://openalex.org/W4220959191","https://openalex.org/W4224267514","https://openalex.org/W4225642699","https://openalex.org/W4226014430","https://openalex.org/W4312933868","https://openalex.org/W4382450052","https://openalex.org/W4382462760","https://openalex.org/W4386071514","https://openalex.org/W4386071753","https://openalex.org/W4386076169","https://openalex.org/W4390873394","https://openalex.org/W4392411958","https://openalex.org/W4393078930","https://openalex.org/W6774670964","https://openalex.org/W6779823529","https://openalex.org/W6786833855","https://openalex.org/W6788990321","https://openalex.org/W6854786588"],"related_works":["https://openalex.org/W3194862240","https://openalex.org/W4206325381","https://openalex.org/W2295706819","https://openalex.org/W2161907179","https://openalex.org/W2043597472","https://openalex.org/W54224318","https://openalex.org/W2552902349","https://openalex.org/W2896263975","https://openalex.org/W2061912243","https://openalex.org/W2466958844"],"abstract_inverted_index":{"Existing":[0],"free-energy":[1],"guided":[2],"No-Reference":[3],"Image":[4],"Quality":[5],"Assessment":[6],"(NR-IQA)":[7],"methods":[8,188],"continue":[9],"to":[10,55,147,152,164],"face":[11],"challenges":[12],"in":[13,67,115],"effectively":[14],"restoring":[15],"complexly":[16],"distorted":[17],"images.":[18],"The":[19,191],"features":[20],"guiding":[21],"the":[22,49,53,64,68,89,92,96,128,144,179,183],"main":[23],"network":[24,145],"for":[25,78,106,189],"quality":[26,117,141,149,167],"assessment":[27],"lack":[28],"interpretability,":[29],"and":[30,74,118,139,178],"efficiently":[31],"leveraging":[32],"high-level":[33,79,121,155],"feature":[34],"information":[35,81],"remains":[36],"a":[37,41,102,132],"significant":[38],"challenge.":[39],"As":[40],"novel":[42,103],"class":[43],"of":[44,85,91,98,112],"state-of-the-art":[45],"(SOTA)":[46],"generative":[47],"model,":[48],"diffusion":[50,93,104,129],"model":[51,56,94,105,130,185],"exhibits":[52],"capability":[54],"intricate":[57],"relationships,":[58],"enhancing":[59,107],"image":[60,137,140],"restoration":[61],"effectiveness.":[62],"Moreover,":[63],"intermediate":[65],"variables":[66],"denoising":[69],"iteration":[70],"process":[71],"exhibit":[72],"clearer":[73],"more":[75,119],"interpretable":[76,120],"meanings":[77],"visual":[80,122,156,162],"guidance.":[82],"In":[83],"view":[84],"these,":[86],"we":[87,158],"pioneer":[88],"exploration":[90],"into":[95],"domain":[97],"NR-IQA.":[99,190],"We":[100],"design":[101,159],"images":[108],"with":[109],"various":[110],"types":[111],"distortions,":[113],"resulting":[114],"higher":[116],"information.":[123],"Our":[124],"experiments":[125,170],"demonstrate":[126,181],"that":[127,182],"establishes":[131],"clear":[133],"mapping":[134],"relationship":[135],"between":[136],"reconstruction":[138],"scores,":[142],"which":[143],"learns":[146],"guide":[148],"assessment.":[150],"Finally,":[151],"fully":[153],"leverage":[154],"information,":[157],"two":[160],"complementary":[161],"branches":[163],"collaboratively":[165],"perform":[166],"evaluation.":[168],"Extensive":[169],"are":[171],"conducted":[172],"on":[173],"seven":[174],"public":[175],"NR-IQA":[176],"datasets,":[177],"results":[180],"proposed":[184],"outperforms":[186],"SOTA":[187],"codes":[192],"will":[193],"be":[194],"available":[195],"at":[196],"https://github.com/handsomewzy/DiffV2IQA.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}