{"id":"https://openalex.org/W4403520967","doi":"https://doi.org/10.1109/tip.2024.3477350","title":"Transforming Image Super-Resolution: A ConvFormer-Based Efficient Approach","display_name":"Transforming Image Super-Resolution: A ConvFormer-Based Efficient Approach","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4403520967","doi":"https://doi.org/10.1109/tip.2024.3477350","pmid":"https://pubmed.ncbi.nlm.nih.gov/39423089"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2024.3477350","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3477350","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/A5119271868","display_name":"Gang Wu","orcid":"https://orcid.org/0009-0007-5003-3117"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Gang Wu","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, Harbin, China","School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087165831","display_name":"Junjun Jiang","orcid":"https://orcid.org/0000-0002-5694-505X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjun Jiang","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, Harbin, China","School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081783696","display_name":"Junpeng Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junpeng Jiang","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, Harbin, China","School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100654390","display_name":"Xianming Liu","orcid":"https://orcid.org/0000-0002-8857-1785"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianming Liu","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, Harbin, China","School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5119271868"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":9.7221,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.98804981,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"33","issue":null,"first_page":"6071","last_page":"6082"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9955000281333923,"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":0.9955000281333923,"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":0.9890999794006348,"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":0.9801999926567078,"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/computer-vision","display_name":"Computer vision","score":0.5886566042900085},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.571034848690033},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5647301077842712},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5316334962844849},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.45068493485450745},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4413381516933441},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4263908863067627},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4132068157196045},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35896027088165283}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5886566042900085},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.571034848690033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5647301077842712},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5316334962844849},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.45068493485450745},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4413381516933441},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4263908863067627},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4132068157196045},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35896027088165283}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2024.3477350","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3477350","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:39423089","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39423089","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/G5778169039","display_name":null,"funder_award_id":"U23B2009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6183235490","display_name":null,"funder_award_id":"62471158","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":71,"referenced_works":["https://openalex.org/W1791560514","https://openalex.org/W1885185971","https://openalex.org/W1930824406","https://openalex.org/W2047920195","https://openalex.org/W2121927366","https://openalex.org/W2192954843","https://openalex.org/W2242218935","https://openalex.org/W2503339013","https://openalex.org/W2741137940","https://openalex.org/W2747898905","https://openalex.org/W2752782242","https://openalex.org/W2795024892","https://openalex.org/W2866634454","https://openalex.org/W2887695188","https://openalex.org/W2954930822","https://openalex.org/W2963372104","https://openalex.org/W2963645458","https://openalex.org/W2963729050","https://openalex.org/W2964101377","https://openalex.org/W2976718572","https://openalex.org/W2981609437","https://openalex.org/W2987150909","https://openalex.org/W3010638262","https://openalex.org/W3013529009","https://openalex.org/W3023371261","https://openalex.org/W3034421924","https://openalex.org/W3040726448","https://openalex.org/W3096739052","https://openalex.org/W3104028135","https://openalex.org/W3133531783","https://openalex.org/W3133953507","https://openalex.org/W3138516171","https://openalex.org/W3167976421","https://openalex.org/W3170026688","https://openalex.org/W3171125843","https://openalex.org/W3174531399","https://openalex.org/W3178925107","https://openalex.org/W3206130237","https://openalex.org/W3207918547","https://openalex.org/W4206211125","https://openalex.org/W4214493665","https://openalex.org/W4225576932","https://openalex.org/W4225672218","https://openalex.org/W4226226289","https://openalex.org/W4226334005","https://openalex.org/W4280490190","https://openalex.org/W4280491778","https://openalex.org/W4310278871","https://openalex.org/W4312338828","https://openalex.org/W4312338875","https://openalex.org/W4312443924","https://openalex.org/W4312812783","https://openalex.org/W4312820606","https://openalex.org/W4378804909","https://openalex.org/W4385346076","https://openalex.org/W4385764452","https://openalex.org/W4385804939","https://openalex.org/W4386075509","https://openalex.org/W4386076602","https://openalex.org/W4386076603","https://openalex.org/W4386083034","https://openalex.org/W4390873662","https://openalex.org/W4396918399","https://openalex.org/W4402916545","https://openalex.org/W6631190155","https://openalex.org/W6766978945","https://openalex.org/W6785306386","https://openalex.org/W6794906783","https://openalex.org/W6802807213","https://openalex.org/W6838831250","https://openalex.org/W6851149329"],"related_works":["https://openalex.org/W2362774332","https://openalex.org/W2543593945","https://openalex.org/W2025681766","https://openalex.org/W2159897444","https://openalex.org/W4249245269","https://openalex.org/W2757389719","https://openalex.org/W2941415828","https://openalex.org/W2071806657","https://openalex.org/W2103507220","https://openalex.org/W2537408670"],"abstract_inverted_index":{"Recent":[0],"progress":[1],"in":[2],"single-image":[3],"super-resolution":[4,174],"(SISR)":[5],"has":[6],"achieved":[7],"remarkable":[8],"performance,":[9],"yet":[10],"the":[11,50,76,96,158,168,172],"computational":[12,42,109,140],"costs":[13],"of":[14,78,164],"these":[15],"methods":[16,154],"remain":[17],"a":[18,57,91,162],"challenge":[19],"for":[20,68,171],"deployment":[21],"on":[22,167],"resource-constrained":[23],"devices.":[24],"In":[25],"particular,":[26],"transformer-based":[27,82],"methods,":[28],"which":[29],"leverage":[30],"self-attention":[31,97],"mechanisms,":[32],"have":[33],"led":[34],"to":[35,94,120,145],"significant":[36],"breakthroughs":[37],"but":[38],"also":[39],"introduce":[40,49],"substantial":[41],"costs.":[43],"To":[44],"tackle":[45],"this":[46],"issue,":[47],"we":[48,112],"Convolutional":[51],"Transformer":[52],"layer":[53],"(ConvFormer)":[54],"and":[55,65,81,103,142,179,183,188],"propose":[56,113],"ConvFormer-based":[58],"Super-Resolution":[59],"network":[60,117],"(CFSR),":[61],"offering":[62],"an":[63,114,136],"effective":[64],"efficient":[66],"solution":[67],"lightweight":[69,147],"image":[70],"super-resolution.":[71],"The":[72,186],"proposed":[73,159],"method":[74],"inherits":[75],"advantages":[77],"both":[79],"convolution-based":[80],"approaches.":[83],"Specifically,":[84],"CFSR":[85,134,160],"utilizes":[86],"large":[87],"kernel":[88],"convolutions":[89],"as":[90,156],"feature":[92,123],"mixer":[93],"replace":[95],"module,":[98],"efficiently":[99],"modeling":[100],"long-range":[101],"dependencies":[102],"extensive":[104],"receptive":[105],"fields":[106],"with":[107],"minimal":[108],"overhead.":[110],"Furthermore,":[111],"edge-preserving":[115],"feed-forward":[116],"(EFN)":[118],"designed":[119],"achieve":[121],"local":[122],"aggregation":[124],"while":[125,176],"effectively":[126],"preserving":[127],"high-frequency":[128],"information.":[129],"Extensive":[130],"experiments":[131],"demonstrate":[132],"that":[133],"strikes":[135],"optimal":[137],"balance":[138],"between":[139],"cost":[141],"performance":[143],"compared":[144],"existing":[146],"SR":[148],"methods.":[149],"When":[150],"benchmarked":[151],"against":[152],"state-of-the-art":[153],"such":[155],"ShuffleMixer,":[157],"achieves":[161],"gain":[163],"0.39":[165],"dB":[166],"Urban100":[169],"dataset":[170],"x2":[173],"task":[175],"requiring":[177],"26%":[178],"31%":[180],"fewer":[181],"parameters":[182],"FLOPs,":[184],"respectively.":[185],"code":[187],"pre-trained":[189],"models":[190],"are":[191],"available":[192],"at":[193],"https://github.com/Aitical/CFSR.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":6}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}