{"id":"https://openalex.org/W4401725868","doi":"https://doi.org/10.1109/tip.2024.3444317","title":"Image Super-Resolution via Efficient Transformer Embedding Frequency Decomposition With Restart","display_name":"Image Super-Resolution via Efficient Transformer Embedding Frequency Decomposition With Restart","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401725868","doi":"https://doi.org/10.1109/tip.2024.3444317","pmid":"https://pubmed.ncbi.nlm.nih.gov/39167514"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2024.3444317","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3444317","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/A5018613505","display_name":"Yifan Zuo","orcid":"https://orcid.org/0000-0003-4980-7211"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Zuo","raw_affiliation_strings":["School of Information Management, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, China"],"raw_orcid":"https://orcid.org/0000-0003-4980-7211","affiliations":[{"raw_affiliation_string":"School of Information Management, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112347548","display_name":"Wenhao Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhao Yao","raw_affiliation_strings":["School of Information Management, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Management, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069201145","display_name":"Yuqi Hu","orcid":"https://orcid.org/0000-0003-3505-2970"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqi Hu","raw_affiliation_strings":["School of Information Management, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Management, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063013411","display_name":"Yuming Fang","orcid":"https://orcid.org/0000-0002-6946-3586"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuming Fang","raw_affiliation_strings":["School of Information Management, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, China"],"raw_orcid":"https://orcid.org/0000-0002-6946-3586","affiliations":[{"raw_affiliation_string":"School of Information Management, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100763568","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0001-6351-9019"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-6351-9019","affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047811387","display_name":"Yuxin Peng","orcid":"https://orcid.org/0000-0001-7658-3845"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxin Peng","raw_affiliation_strings":["Wangxuan Institute of Computer Technology, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7658-3845","affiliations":[{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0437,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.88033595,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"33","issue":null,"first_page":"4670","last_page":"4685"},"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":0.9979000091552734,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9954000115394592,"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":0.656366229057312},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5339473485946655},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.47823113203048706},{"id":"https://openalex.org/keywords/decimation","display_name":"Decimation","score":0.474510133266449},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.42553016543388367},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.4172740578651428},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.4151005148887634},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3685479760169983},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.20129910111427307},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1503569781780243}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.656366229057312},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5339473485946655},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.47823113203048706},{"id":"https://openalex.org/C173642442","wikidata":"https://www.wikidata.org/wiki/Q1253346","display_name":"Decimation","level":3,"score":0.474510133266449},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.42553016543388367},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.4172740578651428},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.4151005148887634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3685479760169983},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.20129910111427307},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1503569781780243},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2024.3444317","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3444317","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:39167514","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39167514","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":[{"display_name":"Affordable and clean energy","score":0.699999988079071,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G1583650166","display_name":null,"funder_award_id":"62132006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1965710864","display_name":null,"funder_award_id":"24Z990200676","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2143609571","display_name":null,"funder_award_id":"62271237","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2751025186","display_name":null,"funder_award_id":"20223AE191002","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"},{"id":"https://openalex.org/G3944859999","display_name":null,"funder_award_id":"62311530101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4445563293","display_name":null,"funder_award_id":"jxsq2019101076","funder_id":"https://openalex.org/F3692415409","funder_display_name":"Double Thousand Plan of Jiangxi Province"},{"id":"https://openalex.org/G4881181586","display_name":null,"funder_award_id":"2023YFE0210700","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7670077110","display_name":null,"funder_award_id":"20224ACB212005","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"}],"funders":[{"id":"https://openalex.org/F3692415409","display_name":"Double Thousand Plan of Jiangxi Province","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322665","display_name":"Natural Science Foundation of Jiangxi Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W1791560514","https://openalex.org/W1885185971","https://openalex.org/W1930824406","https://openalex.org/W1993205988","https://openalex.org/W2047920195","https://openalex.org/W2083610878","https://openalex.org/W2102166818","https://openalex.org/W2121927366","https://openalex.org/W2192954843","https://openalex.org/W2242218935","https://openalex.org/W2343734370","https://openalex.org/W2503339013","https://openalex.org/W2607041014","https://openalex.org/W2741137940","https://openalex.org/W2780544323","https://openalex.org/W2866634454","https://openalex.org/W2896927224","https://openalex.org/W2952773607","https://openalex.org/W2954506705","https://openalex.org/W2954930822","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2963610452","https://openalex.org/W2963645458","https://openalex.org/W2963729050","https://openalex.org/W2963814095","https://openalex.org/W2964101377","https://openalex.org/W2976718572","https://openalex.org/W2987150909","https://openalex.org/W2988396473","https://openalex.org/W3010638262","https://openalex.org/W3034247386","https://openalex.org/W3035557850","https://openalex.org/W3088103684","https://openalex.org/W3096739052","https://openalex.org/W3101659800","https://openalex.org/W3104028135","https://openalex.org/W3104196124","https://openalex.org/W3123866747","https://openalex.org/W3138516171","https://openalex.org/W3149210910","https://openalex.org/W3158383274","https://openalex.org/W3171125843","https://openalex.org/W3174531399","https://openalex.org/W3190240412","https://openalex.org/W3203631022","https://openalex.org/W3204971388","https://openalex.org/W3207918547","https://openalex.org/W4214824195","https://openalex.org/W4221147148","https://openalex.org/W4225576932","https://openalex.org/W4225672218","https://openalex.org/W4226335785","https://openalex.org/W4287020683","https://openalex.org/W4294891419","https://openalex.org/W4312443924","https://openalex.org/W4312812783","https://openalex.org/W4313136310","https://openalex.org/W4362683589","https://openalex.org/W4386075509","https://openalex.org/W4386083034","https://openalex.org/W4390872521","https://openalex.org/W6716109767","https://openalex.org/W6784110152","https://openalex.org/W6802010497","https://openalex.org/W6810863823","https://openalex.org/W6838160470"],"related_works":["https://openalex.org/W2062399876","https://openalex.org/W2340678901","https://openalex.org/W3029686646","https://openalex.org/W1513711368","https://openalex.org/W1526941731","https://openalex.org/W2081696344","https://openalex.org/W1524890377","https://openalex.org/W2355495591","https://openalex.org/W2170324683","https://openalex.org/W2131820784"],"abstract_inverted_index":{"Recently,":[0],"transformer-based":[1,58],"backbones":[2],"show":[3,222],"superior":[4],"performance":[5,227],"over":[6],"the":[7,20,39,46,71,76,92,106,112,116,120,137,142,148,162,169,175,188,199,205,209,217,237],"convolutional":[8],"counterparts":[9],"in":[10,23,31,94,180],"computer":[11],"vision.":[12],"Due":[13],"to":[14,19,45],"quadratic":[15],"complexity":[16],"with":[17,35,115,202],"respect":[18],"token":[21],"number":[22,144],"global":[24],"attention,":[25],"local":[26,73,118],"attention":[27,86,93],"is":[28,43,97,151,208],"always":[29],"adopted":[30],"low-level":[32],"image":[33,60],"processing":[34],"linear":[36],"complexity.":[37,113],"However,":[38],"limited":[40],"receptive":[41,107],"field":[42],"harmful":[44],"performance.":[47],"In":[48,146,172],"this":[49,173],"paper,":[50],"motivated":[51],"by":[52,183],"Octave":[53,131,218],"convolution,":[54,139],"we":[55],"propose":[56],"a":[57,155],"single":[59],"super-resolution":[61],"(SISR)":[62],"model,":[63],"which":[64,102,159,186,215],"explicitly":[65],"embeds":[66],"dynamic":[67],"frequency":[68,77,157,194],"decomposition":[69],"into":[70],"standard":[72,117,138],"transformer.":[74],"All":[75],"components":[78],"are":[79,239],"continuously":[80],"updated":[81],"and":[82,87,127,164,231,236],"re-assigned":[83],"via":[84],"intra-scale":[85],"inter-scale":[88],"interaction,":[89],"respectively.":[90],"Specifically,":[91],"low":[95,163],"resolution":[96],"enough":[98],"for":[99,153,193,213],"low-frequency":[100],"features,":[101],"not":[103],"only":[104,133],"increases":[105],"field,":[108],"but":[109,140],"also":[110],"decreases":[111,125,134],"Compared":[114],"transformer,":[119],"proposed":[121,152,206],"FDRTran":[122,200],"layer":[123,201],"simultaneously":[124],"FLOPs":[126,135],"parameters.":[128],"By":[129],"contrast,":[130],"convolution":[132],"of":[136,190],"keeps":[141],"parameter":[143],"unchanged.":[145],"addition,":[147],"restart":[149,203],"mechanism":[150],"every":[154],"few":[156],"updates,":[158],"first":[160,210],"fuses":[161],"high":[165],"frequency,":[166],"then":[167],"decomposes":[168],"features":[170,176],"again.":[171],"way,":[174],"can":[177],"be":[178],"decomposed":[179],"multiple":[181],"viewpoints":[182],"learnable":[184],"parameters,":[185],"avoids":[187],"risk":[189],"early":[191],"saturation":[192],"representation.":[195],"Furthermore,":[196],"based":[197],"on":[198,228],"mechanism,":[204],"FDRNet":[207],"transformer":[211],"backbone":[212],"SISR":[214],"discusses":[216],"design.":[219],"Sufficient":[220],"experiments":[221],"our":[223],"model":[224],"reaches":[225],"state-of-the-art":[226],"6":[229],"synthetic":[230],"real":[232],"datasets.":[233],"The":[234],"code":[235],"models":[238],"available":[240],"at":[241],"https://github.com/catnip1029/FDRNet.":[242]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}