{"id":"https://openalex.org/W7162085370","doi":"https://doi.org/10.48550/arxiv.2605.22351","title":"QuantSR+: Pushing the Limit of Quantized Image Super-Resolution Networks","display_name":"QuantSR+: Pushing the Limit of Quantized Image Super-Resolution Networks","publication_year":2026,"publication_date":"2026-05-21","ids":{"openalex":"https://openalex.org/W7162085370","doi":"https://doi.org/10.48550/arxiv.2605.22351"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.22351","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.22351","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.22351","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136729624","display_name":"Haotong Qin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qin, Haotong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136778191","display_name":"Xudong Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Xudong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136728736","display_name":"Xianglong Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Xianglong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136796331","display_name":"Jie Luo","orcid":"https://orcid.org/0009-0005-1446-7650"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luo, Jie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136785950","display_name":"Jinyang Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Jinyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136791570","display_name":"Michele Magno","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Magno, Michele","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136789534","display_name":"Yulun Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yulun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.8698999881744385,"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":0.8698999881744385,"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":0.029500000178813934,"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":0.013299999758601189,"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/quantization","display_name":"Quantization (signal processing)","score":0.8274000287055969},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6832000017166138},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.510200023651123},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.46560001373291016},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3433000147342682},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.34220001101493835},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.3325999975204468},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.32109999656677246}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.8274000287055969},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6832000017166138},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6793000102043152},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.510200023651123},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48969998955726624},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.46560001373291016},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.420199990272522},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3433000147342682},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.34220001101493835},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3325999975204468},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3221000134944916},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.32109999656677246},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3050000071525574},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2944999933242798},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.2890999913215637},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.28279998898506165},{"id":"https://openalex.org/C169345407","wikidata":"https://www.wikidata.org/wiki/Q8216221","display_name":"Uncorrelated","level":2,"score":0.2793999910354614},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2635999917984009},{"id":"https://openalex.org/C2778915421","wikidata":"https://www.wikidata.org/wiki/Q3643177","display_name":"Performance improvement","level":2,"score":0.25519999861717224},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.25440001487731934},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.2538999915122986}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.22351","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.22351","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.22351","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.22351","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Low-bit":[0],"quantization":[1,59,92,153,176],"is":[2,213],"widely":[3],"used":[4],"to":[5,27,37,100,121,151,206],"compress":[6],"super-resolution":[7],"(SR)":[8],"models":[9,24],"and":[10,13,41,63,71,97,115,130,145,156,174,208,218],"reduce":[11],"storage":[12,209],"computation":[14],"costs":[15],"for":[16,215],"deployment":[17],"on":[18,81,180],"resource-limited":[19],"devices.":[20],"However,":[21],"when":[22],"SR":[23,76,172,220],"are":[25],"pushed":[26],"ultra-low":[28],"precision":[29],"(2-4":[30],"bits),":[31],"performance":[32,167],"can":[33],"drop":[34],"sharply":[35],"due":[36],"diminished":[38],"representational":[39],"capacity":[40],"the":[42,127,190],"detail-sensitive":[43],"nature":[44],"of":[45],"SR.":[46],"To":[47],"address":[48],"these":[49],"issues,":[50],"we":[51],"propose":[52],"QuantSR+,":[53],"a":[54,142,146],"unified":[55],"framework":[56],"that":[57,163],"improves":[58,184],"operators,":[60],"network":[61],"design,":[62],"training":[64,149],"optimization,":[65],"achieving":[66],"better":[67,155],"trade-offs":[68],"between":[69],"accuracy":[70,128],"efficiency":[72,123,198],"than":[73],"prior":[74],"low-bit":[75],"methods.":[77],"QuantSR+":[78,164,212],"mainly":[79],"relies":[80],"three":[82],"technical":[83],"contributions:":[84],"(1)":[85],"Redistribution-driven":[86],"Bit":[87],"Determination":[88],"(RBD),":[89],"which":[90,109,136],"reshapes":[91],"distributions":[93],"in":[94],"both":[95,169,216],"forward":[96],"backward":[98],"passes":[99],"preserve":[101],"representation":[102],"fidelity;":[103],"(2)":[104],"Quantized":[105],"Slimmable":[106],"Architecture":[107],"(QSA),":[108],"begins":[110],"with":[111],"an":[112],"over-parameterized":[113],"model":[114],"progressively":[116],"prunes":[117],"less":[118],"critical":[119],"blocks":[120],"meet":[122],"budgets":[124],"while":[125],"pushing":[126],"performance;":[129],"(3)":[131],"Slimming-guided":[132],"Function-localized":[133],"Distillation":[134],"(SFD),":[135],"enforces":[137],"block-aware":[138],"feature":[139],"alignment":[140],"via":[141],"direct":[143],"loss":[144],"progressive,":[147],"function-local":[148],"schedule":[150],"capture":[152],"effects":[154],"speed":[157],"up":[158,205],"convergence.":[159],"Extensive":[160],"experiments":[161],"show":[162],"achieves":[165],"state-of-the-art":[166],"against":[168],"specialized":[170],"quantized":[171],"methods":[173],"generic":[175],"approaches.":[177],"For":[178],"SwinIR-S":[179],"Urban100":[181],"(x4),":[182],"it":[183,195],"PSNR":[185],"by":[186,204,210],"0.29":[187],"dB":[188],"over":[189],"2-bit":[191],"SOTA":[192],"baseline.":[193],"Meanwhile,":[194],"delivers":[196],"strong":[197],"gains":[199],"at":[200],"2-bit,":[201],"reducing":[202],"operations":[203],"87.9%":[207],"89.4%.":[211],"effective":[214],"convolutional":[217],"transformer-based":[219],"models,":[221],"indicating":[222],"broad":[223],"applicability.":[224]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-23T00:00:00"}
