{"id":"https://openalex.org/W4308235807","doi":"https://doi.org/10.1109/icip46576.2022.9897382","title":"Adaptive Local Implicit Image Function for Arbitrary-Scale Super-Resolution","display_name":"Adaptive Local Implicit Image Function for Arbitrary-Scale Super-Resolution","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308235807","doi":"https://doi.org/10.1109/icip46576.2022.9897382"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897382","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","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/A5100325337","display_name":"Hongwei Li","orcid":"https://orcid.org/0000-0002-5328-6407"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongwei Li","raw_affiliation_strings":["Tsinghua University,Tsinghua Shenzhen International Graduate School","Tsinghua Shenzhen International Graduate School, Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Tsinghua Shenzhen International Graduate School","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023762528","display_name":"Tao Dai","orcid":"https://orcid.org/0000-0003-0594-6404"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Dai","raw_affiliation_strings":["Shenzhen University,College of Computer Science and Software Engineering","College of Computer Science and Software Engineering, Shenzhen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University,College of Computer Science and Software Engineering","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100346332","display_name":"Yiming Li","orcid":"https://orcid.org/0000-0002-2258-265X"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiming Li","raw_affiliation_strings":["Tsinghua University,Tsinghua Shenzhen International Graduate School","Tsinghua Shenzhen International Graduate School, Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Tsinghua Shenzhen International Graduate School","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063242080","display_name":"Xueyi Zou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159102","display_name":"Huawei Technologies (Sweden)","ror":"https://ror.org/0500fyd17","country_code":"SE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210159102"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Xueyi Zou","raw_affiliation_strings":["Huawei Noah&#x2019;s Ark Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Noah&#x2019;s Ark Lab","institution_ids":["https://openalex.org/I4210159102"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034104790","display_name":"Shu\u2010Tao Xia","orcid":"https://orcid.org/0000-0002-8639-982X"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu-Tao Xia","raw_affiliation_strings":["Tsinghua University,Tsinghua Shenzhen International Graduate School","Tsinghua Shenzhen International Graduate School, Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Tsinghua Shenzhen International Graduate School","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4033","last_page":"4037"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":1.0,"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":1.0,"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":0.9987000226974487,"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":0.9976999759674072,"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/pixel","display_name":"Pixel","score":0.6818633079528809},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6691062450408936},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6472588777542114},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5361706018447876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.531836748123169},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5189175605773926},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.5125805735588074},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4950994551181793},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.45924878120422363},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42719322443008423},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.42622271180152893},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4146310091018677},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4137265086174011},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.280575156211853},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.06424736976623535}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6818633079528809},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6691062450408936},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6472588777542114},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5361706018447876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.531836748123169},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5189175605773926},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.5125805735588074},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4950994551181793},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.45924878120422363},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42719322443008423},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.42622271180152893},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4146310091018677},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4137265086174011},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.280575156211853},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06424736976623535},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9897382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897382","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"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/W2242218935","https://openalex.org/W2613155248","https://openalex.org/W2741137940","https://openalex.org/W2752782242","https://openalex.org/W2954930822","https://openalex.org/W2963031226","https://openalex.org/W2963091558","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2964101377","https://openalex.org/W3109585842","https://openalex.org/W3174865552"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2044092692","https://openalex.org/W2614621130","https://openalex.org/W2547665164","https://openalex.org/W3103111272","https://openalex.org/W4289655544"],"abstract_inverted_index":{"Image":[0],"representation":[1],"is":[2],"critical":[3],"for":[4,54,67],"many":[5],"visual":[6],"tasks.":[7],"Instead":[8],"of":[9,16,96,119,147,173],"representing":[10],"images":[11,28],"discretely":[12],"with":[13],"2D":[14],"arrays":[15],"pixels,":[17],"a":[18,30,61,104,126,144],"recent":[19],"study,":[20],"namely":[21],"local":[22,94,107,149],"implicit":[23,150],"image":[24,56,108,133,151],"function":[25,32,109,142],"(LIIF),":[26],"denotes":[27],"as":[29,43],"continuous":[31,48,140],"where":[33],"pixel":[34],"values":[35],"are":[36,178],"expansion":[37,127],"by":[38,143],"using":[39],"the":[40,88,93,97,136,139,158,171],"corresponding":[41],"coordinates":[42],"inputs.":[44],"Due":[45],"to":[46,111],"its":[47],"nature,":[49],"LIIF":[50,72],"can":[51,156],"be":[52],"adopted":[53],"arbitrary-scale":[55],"super-resolution":[57],"tasks,":[58],"resulting":[59],"in":[60],"single":[62],"effective":[63],"and":[64,78,125,161],"efficient":[65],"model":[66],"various":[68],"up-scaling":[69,141],"factors.":[70],"However,":[71],"often":[73],"suffers":[74],"from":[75],"structural":[76],"distortions":[77],"ringing":[79],"artifacts":[80],"around":[81],"edges,":[82],"mostly":[83],"because":[84],"all":[85],"pixels":[86],"share":[87],"same":[89],"model,":[90],"thus":[91],"ignoring":[92],"properties":[95],"image.":[98],"In":[99],"this":[100,113],"paper,":[101],"we":[102],"propose":[103],"novel":[105],"adaptive":[106],"(A-LIIF)":[110],"alleviate":[112],"problem.":[114],"Specifically,":[115],"our":[116,154,174],"A-LIIF":[117,155],"consists":[118],"two":[120],"main":[121],"components:":[122],"an":[123],"encoder":[124],"network.":[128],"The":[129],"former":[130],"captures":[131],"cross-scale":[132],"features,":[134],"while":[135],"latter":[137],"models":[138],"weighted":[145],"combination":[146],"multiple":[148,167],"functions.":[152],"Accordingly,":[153],"reconstruct":[157],"high-frequency":[159],"textures":[160],"structures":[162],"more":[163],"accurately.":[164],"Experiments":[165],"on":[166],"benchmark":[168],"datasets":[169],"verify":[170],"effectiveness":[172],"method.":[175],"Our":[176],"codes":[177],"available":[179],"at":[180],"https://github.com/LeeHW-THU/A-LIIF.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
