{"id":"https://openalex.org/W3091738711","doi":"https://doi.org/10.1109/icip40778.2020.9190729","title":"Hrnet: Hamiltonian Rescaling Network for Image Downscaling","display_name":"Hrnet: Hamiltonian Rescaling Network for Image Downscaling","publication_year":2020,"publication_date":"2020-09-30","ids":{"openalex":"https://openalex.org/W3091738711","doi":"https://doi.org/10.1109/icip40778.2020.9190729","mag":"3091738711"},"language":"en","primary_location":{"id":"doi:10.1109/icip40778.2020.9190729","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9190729","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","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/A5052723092","display_name":"Yuzhao Chen","orcid":null},"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":"Yuzhao Chen","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101600503","display_name":"Xi Xiao","orcid":"https://orcid.org/0000-0003-1521-9542"},"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":"Xi Xiao","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","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/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":"Tao Dai","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"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 Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.881,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.76829389,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"523","last_page":"527"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9991999864578247,"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":0.9915000200271606,"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/downscaling","display_name":"Downscaling","score":0.8580920696258545},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6587318181991577},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5005340576171875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3988742232322693},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3374853730201721},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11411711573600769},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.07826268672943115}],"concepts":[{"id":"https://openalex.org/C41156917","wikidata":"https://www.wikidata.org/wiki/Q682831","display_name":"Downscaling","level":3,"score":0.8580920696258545},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6587318181991577},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5005340576171875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3988742232322693},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3374853730201721},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11411711573600769},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.07826268672943115},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip40778.2020.9190729","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9190729","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","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":31,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1597944220","https://openalex.org/W1791560514","https://openalex.org/W1906770428","https://openalex.org/W1930824406","https://openalex.org/W1966397236","https://openalex.org/W1987278426","https://openalex.org/W2017522196","https://openalex.org/W2035677848","https://openalex.org/W2047920195","https://openalex.org/W2121927366","https://openalex.org/W2551276706","https://openalex.org/W2741137940","https://openalex.org/W2767008699","https://openalex.org/W2804167378","https://openalex.org/W2866634454","https://openalex.org/W2894234546","https://openalex.org/W2897552070","https://openalex.org/W2954930822","https://openalex.org/W2963302407","https://openalex.org/W2963359731","https://openalex.org/W2963372104","https://openalex.org/W2963729050","https://openalex.org/W2964121744","https://openalex.org/W2964156122","https://openalex.org/W6631190155","https://openalex.org/W6638194035","https://openalex.org/W6745764291","https://openalex.org/W6751666781","https://openalex.org/W6753074096","https://openalex.org/W6754696641"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Image":[0],"downscaling":[1,28,36,45,51,65],"has":[2,11],"become":[3],"a":[4,61,83,91],"classical":[5],"problem":[6],"in":[7,117],"image":[8,15,35,54,64,104],"processing":[9],"and":[10,40,122],"recently":[12],"connected":[13],"to":[14],"super-resolution":[16],"(SR),":[17],"which":[18,89],"restores":[19],"high-quality":[20],"images":[21],"from":[22],"low-resolution":[23],"ones":[24],"generated":[25],"by":[26,100],"predetermined":[27],"kernels":[29],"(e.g.,":[30],"bicubic).":[31],"However,":[32],"most":[33],"existing":[34],"methods":[37,52],"are":[38],"deterministic":[39],"lose":[41],"information":[42,101],"during":[43,103],"the":[44,78,97,111],"process,":[46],"while":[47],"rarely":[48],"designing":[49],"specific":[50],"for":[53],"SR.":[55],"In":[56],"this":[57],"paper,":[58],"we":[59],"propose":[60],"novel":[62],"learning-based":[63],"method,":[66],"Hamiltonian":[67,81],"Rescaling":[68],"Network":[69],"(HRNet).":[70],"The":[71],"design":[72],"of":[73,80,85,93,96,113,119],"HRNet":[74],"is":[75],"based":[76],"on":[77],"discretization":[79],"System,":[82],"pair":[84],"iterative":[86,94],"updating":[87],"equations,":[88],"formulate":[90],"mechanism":[92],"correction":[95],"error":[98],"caused":[99],"missing":[102],"or":[105],"feature":[106],"downscaling.":[107],"Extensive":[108],"experiments":[109],"demonstrate":[110],"effectiveness":[112],"our":[114],"proposed":[115],"method":[116],"terms":[118],"both":[120],"quantitative":[121],"qualitative":[123],"results.":[124]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
