{"id":"https://openalex.org/W4413146629","doi":"https://doi.org/10.1109/cvpr52734.2025.02154","title":"AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual Learning","display_name":"AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual Learning","publication_year":2025,"publication_date":"2025-06-10","ids":{"openalex":"https://openalex.org/W4413146629","doi":"https://doi.org/10.1109/cvpr52734.2025.02154"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52734.2025.02154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52734.2025.02154","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100842261","display_name":"Yuheng Xu","orcid":null},"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":"Yuheng Xu","raw_affiliation_strings":["Nanjing University,State Key Laboratory for Novel Software Technology,Nanjing,China,210023"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,State Key Laboratory for Novel Software Technology,Nanjing,China,210023","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101526391","display_name":"Shijie Yang","orcid":"https://orcid.org/0000-0002-7269-5142"},"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":"Shijie Yang","raw_affiliation_strings":["Nanjing University,State Key Laboratory for Novel Software Technology,Nanjing,China,210023"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,State Key Laboratory for Novel Software Technology,Nanjing,China,210023","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100694374","display_name":"Xin Liu","orcid":"https://orcid.org/0000-0003-0405-1406"},"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":"Xin Liu","raw_affiliation_strings":["Nanjing University,State Key Laboratory for Novel Software Technology,Nanjing,China,210023"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,State Key Laboratory for Novel Software Technology,Nanjing,China,210023","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100682444","display_name":"Jie Liu","orcid":"https://orcid.org/0000-0001-8204-424X"},"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":"Jie Liu","raw_affiliation_strings":["Nanjing University,State Key Laboratory for Novel Software Technology,Nanjing,China,210023"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,State Key Laboratory for Novel Software Technology,Nanjing,China,210023","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040258451","display_name":"Jie Tang","orcid":"https://orcid.org/0000-0002-1042-6457"},"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":"Jie Tang","raw_affiliation_strings":["Nanjing University,State Key Laboratory for Novel Software Technology,Nanjing,China,210023"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,State Key Laboratory for Novel Software Technology,Nanjing,China,210023","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101546753","display_name":"Gangshan Wu","orcid":"https://orcid.org/0000-0003-1391-1762"},"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":"Gangshan Wu","raw_affiliation_strings":["Nanjing University,State Key Laboratory for Novel Software Technology,Nanjing,China,210023"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,State Key Laboratory for Novel Software Technology,Nanjing,China,210023","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":4.2409,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.94604266,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"23131","last_page":"23140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9986000061035156,"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":0.9986000061035156,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9905999898910522,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.970300018787384,"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":0.7620272040367126},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7594218254089355},{"id":"https://openalex.org/keywords/lookup-table","display_name":"Lookup table","score":0.5814158916473389},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5339494943618774},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4767005145549774},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4299650192260742},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42494815587997437},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4132949113845825},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32974129915237427}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7620272040367126},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7594218254089355},{"id":"https://openalex.org/C134835016","wikidata":"https://www.wikidata.org/wiki/Q690265","display_name":"Lookup table","level":2,"score":0.5814158916473389},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5339494943618774},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4767005145549774},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4299650192260742},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42494815587997437},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4132949113845825},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32974129915237427},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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/cvpr52734.2025.02154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52734.2025.02154","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.5099999904632568}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2798215405","https://openalex.org/W2990962948","https://openalex.org/W2084169748","https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W2127529229","https://openalex.org/W2355515259","https://openalex.org/W2788972299","https://openalex.org/W2521347458","https://openalex.org/W2124289628"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"the":[3,18,35,65,124,148,215],"increasing":[4],"popularity":[5],"of":[6,22,179],"Hi-DPI":[7],"screens":[8],"has":[9],"driven":[10],"a":[11,26,104,176,194,202],"rising":[12],"demand":[13],"for":[14,37,172],"high-resolution":[15],"images.":[16,73],"However,":[17],"limited":[19],"computational":[20],"power":[21],"edge":[23],"devices":[24],"poses":[25],"challenge":[27],"in":[28,71,91,197,205],"deploying":[29],"complex":[30],"super-resolution":[31,96],"neural":[32],"networks,":[33],"highlighting":[34],"need":[36],"efficient":[38],"methods.":[39],"While":[40],"prior":[41],"works":[42],"have":[43,48],"made":[44],"significant":[45,158],"progress,":[46],"they":[47],"not":[49],"fully":[50],"exploited":[51],"pixel-level":[52],"information.":[53],"Moreover,":[54],"their":[55],"reliance":[56],"on":[57,161,184],"fixed":[58],"sampling":[59,107,110],"patterns":[60],"limits":[61],"both":[62,162],"accuracy":[63],"and":[64,86,122,146,164,200],"ability":[66,150],"to":[67,84,117,119,138,151,214],"capture":[68,85],"fine":[69,153],"details":[70],"low-resolution":[72],"To":[74],"address":[75],"these":[76],"challenges,":[77],"we":[78,174],"introduce":[79],"two":[80],"plug-and-play":[81],"modules":[82],"designed":[83],"leverage":[87],"pixel":[88,120],"information":[89,144],"effectively":[90],"Look-Up":[92],"Table":[93],"(LUT)":[94],"based":[95],"networks.":[97],"Our":[98,155],"method":[99,156,209],"introduces":[100],"Automatic":[101],"Sampling":[102],"(AutoSample),":[103],"flexible":[105],"LUT":[106],"approach":[108],"where":[109],"weights":[111],"are":[112],"automatically":[113],"learned":[114],"during":[115],"training":[116],"adapt":[118],"variations":[121],"expand":[123],"receptive":[125],"field":[126],"without":[127],"added":[128],"inference":[129,206],"cost.":[130],"We":[131],"also":[132],"incorporate":[133],"Adaptive":[134],"Residual":[135],"Learning":[136],"(AdaRL)":[137],"enhance":[139],"inter-layer":[140],"connections,":[141],"enabling":[142],"detailed":[143],"flow":[145],"improving":[147],"network\u2019s":[149],"reconstruct":[152],"details.":[154],"achieves":[157],"performance":[159,212],"improvements":[160],"MuLUT":[163],"SPF-LUT":[165],"while":[166],"maintaining":[167],"similar":[168],"storage":[169,198],"sizes.":[170],"Specifically,":[171],"MuLUT,":[173],"achieve":[175],"PSNR":[177],"improvement":[178,183],"approximately":[180],"+0.20":[181],"dB":[182],"average":[185],"across":[186],"five":[187],"datasets.":[188],"For":[189],"SPF-LUT,":[190],"with":[191],"more":[192],"than":[193],"50%":[195],"reduction":[196,204],"space":[199],"about":[201],"2/3":[203],"time,":[207],"our":[208],"still":[210],"maintains":[211],"comparable":[213],"original.":[216],"The":[217],"code":[218],"is":[219],"available":[220],"at":[221],"https://github.com/SuperKenVery/AutoLUT.":[222]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
