{"id":"https://openalex.org/W4415821357","doi":"https://doi.org/10.1109/tpami.2025.3628275","title":"HAT: Hybrid Attention Transformer for Image Restoration","display_name":"HAT: Hybrid Attention Transformer for Image Restoration","publication_year":2025,"publication_date":"2025-11-03","ids":{"openalex":"https://openalex.org/W4415821357","doi":"https://doi.org/10.1109/tpami.2025.3628275","pmid":"https://pubmed.ncbi.nlm.nih.gov/41182942"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2025.3628275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3628275","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","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":null,"display_name":"Xiangyu Chen","orcid":"https://orcid.org/0000-0003-2156-4959"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]},{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":true,"raw_author_name":"Xiangyu Chen","raw_affiliation_strings":["State Key Laboratory of Internet of Things for Smart City, University of Macau, Macao, China","State Key Laboratory of Internet of Things for Smart City, University of Macau, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Internet of Things for Smart City, University of Macau, Macao, China","institution_ids":["https://openalex.org/I6469544","https://openalex.org/I204512498"]},{"raw_affiliation_string":"State Key Laboratory of Internet of Things for Smart City, University of Macau, China","institution_ids":["https://openalex.org/I6469544","https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101538534","display_name":"Xintao Wang","orcid":"https://orcid.org/0000-0001-6585-8604"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xintao Wang","raw_affiliation_strings":["ARC Lab, Tencent PCG, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"ARC Lab, Tencent PCG, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453347","display_name":"Wenlong Zhang","orcid":"https://orcid.org/0000-0002-4046-2213"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenlong Zhang","raw_affiliation_strings":["Shanghai Artificial Intelligence Laboratory, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory, Shanghai, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4391012619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102789877","display_name":"Xiangtao Kong","orcid":"https://orcid.org/0000-0003-2963-806X"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangtao Kong","raw_affiliation_strings":["Shanghai Artificial Intelligence Laboratory, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory, Shanghai, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4391012619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100748135","display_name":"Yu Qiao","orcid":"https://orcid.org/0000-0002-1889-2567"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Qiao","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037979193","display_name":"Jiantao Zhou","orcid":"https://orcid.org/0000-0002-6015-2618"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]},{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Jiantao Zhou","raw_affiliation_strings":["State Key Laboratory of Internet of Things for Smart City, University of Macau, Macao, China","State Key Laboratory of Internet of Things for Smart City, University of Macau, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Internet of Things for Smart City, University of Macau, Macao, China","institution_ids":["https://openalex.org/I6469544","https://openalex.org/I204512498"]},{"raw_affiliation_string":"State Key Laboratory of Internet of Things for Smart City, University of Macau, China","institution_ids":["https://openalex.org/I6469544","https://openalex.org/I204512498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023845728","display_name":"Chao Dong","orcid":"https://orcid.org/0000-0003-2260-8079"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Dong","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204512498","https://openalex.org/I6469544"],"apc_list":null,"apc_paid":null,"fwci":12.1341,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.98767738,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"48","issue":"3","first_page":"2676","last_page":"2694"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9650999903678894,"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":0.9650999903678894,"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":0.014100000262260437,"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":0.00570000009611249,"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/image-restoration","display_name":"Image restoration","score":0.7330999970436096},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5958999991416931},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5766000151634216},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5723000168800354},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.41200000047683716},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4074000120162964},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3928000032901764},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37610000371932983}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.733299970626831},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.7330999970436096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6754999756813049},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5958999991416931},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5766000151634216},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5723000168800354},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.492900013923645},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.41200000047683716},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4074000120162964},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3928000032901764},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37610000371932983},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.33629998564720154},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.3255000114440918},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.2955999970436096},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.29409998655319214},{"id":"https://openalex.org/C104317376","wikidata":"https://www.wikidata.org/wiki/Q1894545","display_name":"Gaussian blur","level":5,"score":0.28870001435279846},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.28360000252723694},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.2816999852657318},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.2581999897956848}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2025.3628275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3628275","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:41182942","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41182942","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 pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1484410455","display_name":null,"funder_award_id":"62276251","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4651853227","display_name":null,"funder_award_id":"2024A1515012536","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G5087484788","display_name":null,"funder_award_id":"62272450","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"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":83,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W134193804","https://openalex.org/W1791560514","https://openalex.org/W1885185971","https://openalex.org/W1912194039","https://openalex.org/W1930824406","https://openalex.org/W1972963882","https://openalex.org/W2019790506","https://openalex.org/W2047920195","https://openalex.org/W2054515210","https://openalex.org/W2108598243","https://openalex.org/W2121927366","https://openalex.org/W2135065661","https://openalex.org/W2142683286","https://openalex.org/W2192954843","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2476548250","https://openalex.org/W2503339013","https://openalex.org/W2508457857","https://openalex.org/W2556068545","https://openalex.org/W2560533888","https://openalex.org/W2613155248","https://openalex.org/W2739757502","https://openalex.org/W2747898905","https://openalex.org/W2764207251","https://openalex.org/W2799192307","https://openalex.org/W2866634454","https://openalex.org/W2952773607","https://openalex.org/W2954930822","https://openalex.org/W2962785568","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2963494934","https://openalex.org/W2964101377","https://openalex.org/W2983339877","https://openalex.org/W2987150909","https://openalex.org/W2988916019","https://openalex.org/W3000775737","https://openalex.org/W3011043518","https://openalex.org/W3040726448","https://openalex.org/W3096609285","https://openalex.org/W3096739052","https://openalex.org/W3116540451","https://openalex.org/W3131500599","https://openalex.org/W3136416617","https://openalex.org/W3138516171","https://openalex.org/W3167568784","https://openalex.org/W3170697543","https://openalex.org/W3171125843","https://openalex.org/W3174531399","https://openalex.org/W3176096490","https://openalex.org/W3178925107","https://openalex.org/W3179869055","https://openalex.org/W3203631022","https://openalex.org/W3204538018","https://openalex.org/W3204971388","https://openalex.org/W3207918547","https://openalex.org/W4214493665","https://openalex.org/W4225538054","https://openalex.org/W4225672218","https://openalex.org/W4226424839","https://openalex.org/W4226440503","https://openalex.org/W4283831644","https://openalex.org/W4290714341","https://openalex.org/W4312458589","https://openalex.org/W4312678820","https://openalex.org/W4312812783","https://openalex.org/W4312856857","https://openalex.org/W4312938066","https://openalex.org/W4313007769","https://openalex.org/W4313152909","https://openalex.org/W4313156423","https://openalex.org/W4321232185","https://openalex.org/W4379382445","https://openalex.org/W4385245566","https://openalex.org/W4385764452","https://openalex.org/W4386076603","https://openalex.org/W4386083034","https://openalex.org/W4386453449","https://openalex.org/W4389666313","https://openalex.org/W4392543517","https://openalex.org/W4409102451"],"related_works":[],"abstract_inverted_index":{"Transformer-based":[0],"methods":[1],"have":[2,129],"shown":[3],"impressive":[4],"performance":[5,147,189],"in":[6,47],"image":[7,12,162,167,170,173],"restoration":[8,163],"tasks,":[9],"such":[10],"as":[11],"super-resolution":[13],"and":[14,73,172,180,192],"denoising.":[15],"However,":[16],"we":[17,60,91,109,157],"find":[18],"that":[19,37,145,184],"these":[20],"networks":[21],"can":[22,152],"only":[23],"utilize":[24],"a":[25,62,112],"limited":[26],"spatial":[27],"range":[28],"of":[29,40,80,121,133,148],"input":[30,55],"information":[31],"through":[32],"attribution":[33],"analysis.":[34],"This":[35],"implies":[36],"the":[38,88,99,106,119,122,131,134,141,146,149],"potential":[39,120],"Transformer":[41,66],"is":[42],"still":[43],"not":[44],"fully":[45],"exploited":[46],"existing":[48],"networks.":[49],"In":[50,105],"order":[51],"to":[52,85,97,116,143,160],"activate":[53],"more":[54,161],"pixels":[56],"for":[57,124],"better":[58,86],"restoration,":[59],"propose":[61],"new":[63],"Hybrid":[64],"Attention":[65],"(HAT).":[67],"It":[68],"combines":[69],"both":[70,190],"channel":[71],"attention":[72],"window-based":[74],"self-attention":[75],"schemes,":[76],"thus":[77],"making":[78],"use":[79],"their":[81],"complementary":[82],"advantages.":[83],"Moreover,":[84],"aggregate":[87],"cross-window":[89],"information,":[90],"introduce":[92],"an":[93],"overlapping":[94],"cross-attention":[95],"module":[96],"enhance":[98],"interaction":[100],"between":[101],"neighboring":[102],"window":[103],"features.":[104],"training":[107],"stage,":[108],"additionally":[110],"adopt":[111],"same-task":[113],"pre-training":[114],"strategy":[115],"further":[117,125,138],"exploit":[118],"model":[123,142],"improvement.":[126],"Extensive":[127],"experiments":[128],"demonstrated":[130],"effectiveness":[132],"proposed":[135],"modules.":[136],"We":[137],"scale":[139],"up":[140],"show":[144],"SR":[150],"task":[151],"be":[153],"greatly":[154],"improved.":[155],"Besides,":[156],"extend":[158],"HAT":[159,186],"applications,":[164],"including":[165],"real-world":[166,181],"super-resolution,":[168],"Gaussian":[169],"denoising":[171],"compression":[174],"artifacts":[175],"reduction.":[176],"Experiments":[177],"on":[178],"benchmark":[179],"datasets":[182],"demonstrate":[183],"our":[185],"achieves":[187],"state-of-the-art":[188],"quantitatively":[191],"qualitatively.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-11-03T00:00:00"}