{"id":"https://openalex.org/W3185318678","doi":"https://doi.org/10.1109/tip.2021.3096089","title":"Adversarial Multi-Path Residual Network for Image Super-Resolution","display_name":"Adversarial Multi-Path Residual Network for Image Super-Resolution","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3185318678","doi":"https://doi.org/10.1109/tip.2021.3096089","mag":"3185318678","pmid":"https://pubmed.ncbi.nlm.nih.gov/34280101"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2021.3096089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3096089","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/A5100417694","display_name":"Qianqian Wang","orcid":"https://orcid.org/0000-0001-8217-5952"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qianqian Wang","raw_affiliation_strings":["Key Laboratory of Ministry of Education of Intellisense and Image Understanding, School of Telecommunication Engineering, Xidian University, Xi\u2019an, China","State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","Key Laboratory of Ministry of Education of Intellisense and Image Understanding, School of Telecommunication Engineering, Xidian University, Xi'an, China","State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Ministry of Education of Intellisense and Image Understanding, School of Telecommunication Engineering, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Ministry of Education of Intellisense and Image Understanding, School of Telecommunication Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048220966","display_name":"Quanxue Gao","orcid":"https://orcid.org/0000-0001-5082-2940"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quanxue Gao","raw_affiliation_strings":["State Key Laboratory of ISN, Xidian University, Shaanxi, Xi\u2019an, China","Xidian-Ningbo Information Technology Institute, Ningbo, China","State Key Laboratory of ISN, Xidian University, Shaanxi, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of ISN, Xidian University, Shaanxi, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian-Ningbo Information Technology Institute, Ningbo, China","institution_ids":[]},{"raw_affiliation_string":"State Key Laboratory of ISN, Xidian University, Shaanxi, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051768599","display_name":"Linlu Wu","orcid":"https://orcid.org/0000-0002-8738-6676"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linlu Wu","raw_affiliation_strings":["Huawei Consumer Business Group, Xi\u2019an, China","Huawei Consumer Business Group, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Huawei Consumer Business Group, Xi\u2019an, China","institution_ids":["https://openalex.org/I2250955327"]},{"raw_affiliation_string":"Huawei Consumer Business Group, Xi'an, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031333887","display_name":"Gan Sun","orcid":"https://orcid.org/0000-0003-1111-6909"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gan Sun","raw_affiliation_strings":["Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China","State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050630882","display_name":"Licheng Jiao","orcid":"https://orcid.org/0000-0003-3354-9617"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Licheng Jiao","raw_affiliation_strings":["Key Laboratory of Ministry of Education of Intellisense and Image Understanding, School of Artificial Intelligence, Xidian University, Xi\u2019an, China","Key Laboratory of Ministry of Education of Intellisense and Image Understanding, School of Artificial Intelligence, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Ministry of Education of Intellisense and Image Understanding, School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Ministry of Education of Intellisense and Image Understanding, School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100417694"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":1.8253,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.87351307,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"30","issue":null,"first_page":"6648","last_page":"6658"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.996399998664856,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9919000267982483,"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/residual","display_name":"Residual","score":0.667384147644043},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5630663633346558},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5589425563812256},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.515203058719635},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.48008543252944946},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3518076539039612},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09976914525032043}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.667384147644043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5630663633346558},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5589425563812256},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.515203058719635},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.48008543252944946},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3518076539039612},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09976914525032043}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2021.3096089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3096089","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:34280101","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34280101","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},{"id":"pmh:oai:ir.sia.cn/:173321/29518","is_oa":false,"landing_page_url":"http://ir.sia.cn/handle/173321/29518","pdf_url":null,"source":{"id":"https://openalex.org/S4377196984","display_name":"SIA OpenIR (Chinese Academy of Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I19820366","host_organization_name":"Chinese Academy of Sciences","host_organization_lineage":["https://openalex.org/I19820366"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u671f\u520a\u8bba\u6587"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G3072040313","display_name":null,"funder_award_id":"2020JZ-19","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"},{"id":"https://openalex.org/G3666459977","display_name":null,"funder_award_id":"2019M663642","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4521823714","display_name":null,"funder_award_id":"2018A610049","funder_id":"https://openalex.org/F4320332587","funder_display_name":"Natural Science Foundation of Ningbo"},{"id":"https://openalex.org/G8483022372","display_name":null,"funder_award_id":"2020JQ-327","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"}],"funders":[{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320324173","display_name":"Natural Science Foundation of Shaanxi Province","ror":null},{"id":"https://openalex.org/F4320332587","display_name":"Natural Science Foundation of Ningbo","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1791560514","https://openalex.org/W1930824406","https://openalex.org/W2047920195","https://openalex.org/W2109453625","https://openalex.org/W2121927366","https://openalex.org/W2133665775","https://openalex.org/W2161516371","https://openalex.org/W2192954843","https://openalex.org/W2194775991","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2476548250","https://openalex.org/W2503339013","https://openalex.org/W2741137940","https://openalex.org/W2747898905","https://openalex.org/W2780544323","https://openalex.org/W2795024892","https://openalex.org/W2810518847","https://openalex.org/W2866634454","https://openalex.org/W2887695188","https://openalex.org/W2895240252","https://openalex.org/W2895598217","https://openalex.org/W2919046835","https://openalex.org/W2919715196","https://openalex.org/W2942729634","https://openalex.org/W2947156405","https://openalex.org/W2947376905","https://openalex.org/W2962928529","https://openalex.org/W2963037581","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2963610452","https://openalex.org/W2963645458","https://openalex.org/W2964101377","https://openalex.org/W2964121592","https://openalex.org/W2964121744","https://openalex.org/W2964125708","https://openalex.org/W2987004640","https://openalex.org/W3001992107","https://openalex.org/W3043538212","https://openalex.org/W3101659800","https://openalex.org/W3124561108","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6638194035","https://openalex.org/W6683660953","https://openalex.org/W6755102754","https://openalex.org/W6781412027"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W2521347458","https://openalex.org/W2498789492","https://openalex.org/W2729981612","https://openalex.org/W4233449973","https://openalex.org/W2990636717"],"abstract_inverted_index":{"Recently,":[0],"deep":[1],"convolutional":[2],"neural":[3],"networks":[4,24],"have":[5],"demonstrated":[6],"remarkable":[7],"progresses":[8],"on":[9],"single":[10],"image":[11,171],"super-resolution":[12],"(SR)":[13],"problem.":[14],"However,":[15],"most":[16],"of":[17,81,163,180],"them":[18],"use":[19],"more":[20],"deeper":[21],"and":[22,43,54,84,168,188],"wider":[23],"to":[25,37,158],"improve":[26],"SR":[27,88,166,178],"performance,":[28],"which":[29,75,113],"is":[30],"not":[31],"practical":[32],"in":[33,64,202],"real-world":[34],"applications":[35],"due":[36],"large":[38],"complexity,":[39],"high":[40,51,185],"computation":[41],"cost,":[42],"low":[44],"efficiency.":[45],"In":[46,173],"addition,":[47],"they":[48],"cannot":[49],"provide":[50,184],"perception":[52,186],"quality":[53,57,187],"guarantee":[55],"objective":[56,189],"simultaneously.":[58],"To":[59],"address":[60],"these":[61],"limitations,":[62],"we":[63,97,148],"this":[65,174],"paper":[66],"propose":[67,98],"a":[68,86,99,155],"novel":[69],"Adversarial":[70],"Multipath":[71],"Residual":[72],"Network":[73],"(AMPRN),":[74],"can":[76,114,183],"largely":[77],"suppress":[78],"the":[79,92,135,160,164,176,208],"number":[80],"network":[82,107,111,153],"parameters":[83,206],"achieve":[85],"higher":[87],"performance":[89,201],"compared":[90],"with":[91,109,154,204],"state-of-the-art":[93,209],"methods.":[94,210],"More":[95],"specifically,":[96],"multi-path":[100,105],"residual":[101,106],"block":[102],"(MPRB)":[103],"for":[104],"(MPRN)":[108],"fewer":[110,205],"parameters,":[112],"extract":[115],"abundant":[116],"local":[117],"features":[118,122,132],"by":[119,127,141],"fully":[120],"using":[121],"from":[123,133],"different":[124],"paths":[125],"generated":[126,165,177],"channel":[128],"slices.":[129],"These":[130],"hierarchical":[131],"all":[134],"MPRBs":[136],"are":[137],"then":[138],"jointly":[139],"aggregated":[140],"global":[142],"gradual":[143],"feature":[144],"fusion.":[145],"Following":[146],"MPRN,":[147],"construct":[149],"an":[150],"adversarial":[151],"gradient":[152,156,161],"loss":[157],"make":[159],"distribution":[162],"images":[167,179],"ground":[169],"truth":[170],"closer.":[172],"way,":[175],"our":[181,197],"model":[182],"quality.":[190],"Finally,":[191],"several":[192],"experimental":[193],"results":[194],"demonstrate":[195],"that":[196],"AMPRN":[198],"achieves":[199],"better":[200],"comparison":[203],"than":[207]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}