{"id":"https://openalex.org/W4405787310","doi":"https://doi.org/10.1109/imeta62882.2024.10807943","title":"Meta-Swin: Lightweight Image Super-Resolution Swin Transformer for Metaverse Applications","display_name":"Meta-Swin: Lightweight Image Super-Resolution Swin Transformer for Metaverse Applications","publication_year":2024,"publication_date":"2024-11-26","ids":{"openalex":"https://openalex.org/W4405787310","doi":"https://doi.org/10.1109/imeta62882.2024.10807943"},"language":"en","primary_location":{"id":"doi:10.1109/imeta62882.2024.10807943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/imeta62882.2024.10807943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 2nd International Conference on Intelligent Metaverse Technologies &amp;amp; Applications (iMETA)","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/A5092777122","display_name":"Omer Tariq","orcid":"https://orcid.org/0000-0002-1771-6166"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Omer Tariq","raw_affiliation_strings":["SoC (KAIST),Daejeon,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SoC (KAIST),Daejeon,South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092777121","display_name":"Muhammad Bilal Akram Dastagir","orcid":"https://orcid.org/0000-0003-2990-4604"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"M. Bilal A. Dastagir","raw_affiliation_strings":["SoC (KAIST),Daejeon,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SoC (KAIST),Daejeon,South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075516902","display_name":"Dongsoo Han","orcid":"https://orcid.org/0000-0001-9844-4221"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dongsoo Han","raw_affiliation_strings":["SoC (KAIST),Daejeon,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SoC (KAIST),Daejeon,South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043302955","display_name":"Muhammad Bilal","orcid":"https://orcid.org/0000-0003-4221-0877"},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Muhammad Bilal","raw_affiliation_strings":["SoCC (Lancaster University),Lancaster,United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SoCC (Lancaster University),Lancaster,United Kingdom","institution_ids":["https://openalex.org/I67415387"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"134","last_page":"140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9837999939918518,"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":0.9837999939918518,"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":0.9837999939918518,"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/T11408","display_name":"Advanced Optical Imaging Technologies","score":0.983299970626831,"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-science","display_name":"Computer science","score":0.6026605367660522},{"id":"https://openalex.org/keywords/metaverse","display_name":"Metaverse","score":0.4970276653766632},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.46388062834739685},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32571321725845337},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.30027687549591064},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13566702604293823},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.1210455596446991},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.11943507194519043},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.11391964554786682}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6026605367660522},{"id":"https://openalex.org/C53332860","wikidata":"https://www.wikidata.org/wiki/Q2632041","display_name":"Metaverse","level":3,"score":0.4970276653766632},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.46388062834739685},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32571321725845337},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.30027687549591064},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13566702604293823},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.1210455596446991},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.11943507194519043},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.11391964554786682}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/imeta62882.2024.10807943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/imeta62882.2024.10807943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 2nd International Conference on Intelligent Metaverse Technologies &amp;amp; Applications (iMETA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1791560514","https://openalex.org/W1930824406","https://openalex.org/W1973567017","https://openalex.org/W2037642501","https://openalex.org/W2047920195","https://openalex.org/W2128254161","https://openalex.org/W2135065661","https://openalex.org/W2150081556","https://openalex.org/W2154439236","https://openalex.org/W2161907179","https://openalex.org/W2167191464","https://openalex.org/W2192954843","https://openalex.org/W2263468737","https://openalex.org/W2557216475","https://openalex.org/W2607041014","https://openalex.org/W2741137940","https://openalex.org/W2764207251","https://openalex.org/W2963470893","https://openalex.org/W2964101377","https://openalex.org/W2976718572","https://openalex.org/W3000775737","https://openalex.org/W3011456574","https://openalex.org/W3096609285","https://openalex.org/W3096739052","https://openalex.org/W3109737331","https://openalex.org/W3138516171","https://openalex.org/W3171125843","https://openalex.org/W3174531399","https://openalex.org/W3207918547","https://openalex.org/W4214609808","https://openalex.org/W4286373457","https://openalex.org/W4312349930","https://openalex.org/W4312812783","https://openalex.org/W4367721896","https://openalex.org/W4382450208","https://openalex.org/W4384788022"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2166821106","https://openalex.org/W4312864667","https://openalex.org/W2616814274","https://openalex.org/W4376853950","https://openalex.org/W4366210097","https://openalex.org/W4366734514","https://openalex.org/W4237056396"],"abstract_inverted_index":{"This":[0,82],"paper":[1],"presents":[2],"an":[3],"improved":[4],"model":[5,89,175],"based":[6],"on":[7,18,64,138],"the":[8,22,85,107,130,167,173,192,195],"Swin":[9,112],"Transformer":[10],"for":[11,28,58,94,151,203,227],"image":[12,30,59,95,99,147],"super-resolution":[13,96,150,204],"and":[14,31,34,43,53,110,123,126,149,170,181,207,210,234],"enhancement,":[15,148],"specifically":[16,93],"focusing":[17],"applications":[19],"relevant":[20],"to":[21,73,90],"metaverse.":[23],"Image":[24],"compression":[25,41,144],"is":[26,223],"crucial":[27],"efficient":[29],"video":[32],"transmission":[33],"storage.":[35],"Yet,":[36],"it":[37],"often":[38],"results":[39,184],"in":[40,78,97,105,119,213],"artifacts":[42],"loss":[44],"of":[45,132,172,194,205],"original":[46,111,174],"details,":[47],"degrading":[48],"compressed":[49,98,152,208,216],"images'":[50],"perceptual":[51],"quality":[52,233],"fidelity.":[54],"While":[55],"modern":[56],"methods":[57],"restoration":[60],"have":[61,69],"primarily":[62],"relied":[63],"convolutional":[65],"neural":[66],"networks,":[67],"there":[68],"been":[70],"limited":[71],"attempts":[72],"leverage":[74],"Transformers,":[75],"which":[76],"excel":[77],"complex":[79],"vision":[80,108],"tasks.":[81,188],"study":[83],"investigates":[84],"lightweight":[86,220],"Meta-Swin":[87,178],"transformer-based":[88],"enhance":[91],"SwinIR":[92,180],"scenarios.":[100],"We":[101,135],"address":[102],"key":[103],"challenges":[104],"training":[106,168],"transformer":[109,197,221],"transformers,":[113],"such":[114],"as":[115,199],"unstable":[116],"training,":[117],"inconsistencies":[118],"resolution":[120],"between":[121],"pre-training":[122],"fine-tuning":[124],"stages,":[125],"limitations":[127],"imposed":[128],"by":[129,230],"scarcity":[131],"labeled":[133],"data.":[134],"perform":[136],"experiments":[137],"three":[139],"typical":[140],"tasks:":[141],"eliminating":[142],"JPEG":[143],"artifacts,":[145],"traditional":[146],"input":[153],"images.":[154],"The":[155,189,218],"experimental":[156],"findings":[157,190],"indicate":[158],"that":[159],"our":[160],"newly":[161],"proposed":[162,219],"approach,":[163],"Meta-Swin,":[164],"significantly":[165],"enhances":[166],"convergence":[169],"performance":[171],"SwinIR.":[176],"Moreover,":[177],"outperforms":[179],"IPT":[182],"regarding":[183],"across":[185],"different":[186],"representative":[187],"highlight":[191],"potential":[193],"modified":[196],"network":[198],"a":[200,224,236],"powerful":[201],"tool":[202],"low-resolution":[206],"images":[209],"reconstruction,":[211],"particularly":[212],"scenarios":[214],"involving":[215],"inputs.":[217],"architecture":[222],"good":[225],"candidate":[226],"metaverse":[228],"technologies":[229],"boosting":[231],"visual":[232],"creating":[235],"more":[237],"realistic":[238],"digital":[239],"experience.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
