{"id":"https://openalex.org/W4392539708","doi":"https://doi.org/10.48550/arxiv.2403.02601","title":"Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning","display_name":"Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning","publication_year":2024,"publication_date":"2024-03-05","ids":{"openalex":"https://openalex.org/W4392539708","doi":"https://doi.org/10.48550/arxiv.2403.02601"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2403.02601","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.02601","pdf_url":"https://arxiv.org/pdf/2403.02601","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2403.02601","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100763969","display_name":"Haoyu Chen","orcid":"https://orcid.org/0000-0001-7618-9733"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Haoyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336572","display_name":"Wenbo Li","orcid":"https://orcid.org/0000-0002-0464-6955"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Wenbo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078100073","display_name":"Jinjin Gu","orcid":"https://orcid.org/0000-0002-4389-6236"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gu, Jinjin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051565381","display_name":"Jingjing Ren","orcid":"https://orcid.org/0000-0002-6427-4364"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ren, Jingjing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102777251","display_name":"Haoze Sun","orcid":"https://orcid.org/0000-0002-7037-701X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Haoze","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063242080","display_name":"Xueyi Zou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zou, Xueyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043901952","display_name":"Zhensong Zhang","orcid":"https://orcid.org/0009-0001-7911-7564"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Zhensong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100566804","display_name":"Youliang Yan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yan, Youliang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Zhu, Lei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Lei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9693999886512756,"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"}},"topics":[{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9693999886512756,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9100000262260437,"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/generalization","display_name":"Generalization","score":0.8052634000778198},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5507979989051819},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46936944127082825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44681456685066223},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3323432207107544},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25726616382598877}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.8052634000778198},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5507979989051819},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46936944127082825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44681456685066223},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3323432207107544},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25726616382598877},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2403.02601","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.02601","pdf_url":"https://arxiv.org/pdf/2403.02601","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2403.02601","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2403.02601","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2403.02601","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.02601","pdf_url":"https://arxiv.org/pdf/2403.02601","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392539708.pdf","grobid_xml":"https://content.openalex.org/works/W4392539708.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347","https://openalex.org/W4210805261"],"abstract_inverted_index":{"For":[0],"image":[1],"super-resolution":[2],"(SR),":[3],"bridging":[4],"the":[5,8,27,40,79,87,110,123],"gap":[6],"between":[7],"performance":[9],"on":[10,112,132],"synthetic":[11],"datasets":[12],"and":[13,125],"real-world":[14,46,134,156],"degradation":[15,58],"scenarios":[16],"remains":[17],"a":[18,23,51,152],"challenge.":[19],"This":[20],"work":[21],"introduces":[22],"novel":[24],"\"Low-Res":[25],"Leads":[26],"Way\"":[28],"(LWay)":[29],"training":[30,140],"framework,":[31],"merging":[32,63],"Supervised":[33],"Pre-training":[34],"with":[35,65],"Self-supervised":[36],"Learning":[37],"to":[38,45,56,81,86],"enhance":[39],"adaptability":[41],"of":[42,92,103,129],"SR":[43,93,130,157],"models":[44,94,131],"images.":[47,100],"Our":[48,139],"approach":[49],"utilizes":[50],"low-resolution":[52],"(LR)":[53],"reconstruction":[54],"network":[55,147],"extract":[57],"embeddings":[59],"from":[60],"LR":[61,69,73],"images,":[62],"them":[64],"super-resolved":[66],"outputs":[67],"for":[68,75,155],"reconstruction.":[70],"Leveraging":[71],"unseen":[72,133],"images":[74],"self-supervised":[76],"learning":[77],"guides":[78],"model":[80],"adapt":[82],"its":[83],"modeling":[84],"space":[85],"target":[88],"domain,":[89],"facilitating":[90],"fine-tuning":[91],"without":[95],"requiring":[96,145],"paired":[97],"high-resolution":[98],"(HR)":[99],"The":[101],"integration":[102],"Discrete":[104],"Wavelet":[105],"Transform":[106],"(DWT)":[107],"further":[108],"refines":[109],"focus":[111],"high-frequency":[113],"details.":[114],"Extensive":[115],"evaluations":[116],"show":[117],"that":[118],"our":[119],"method":[120],"significantly":[121],"improves":[122],"generalization":[124],"detail":[126],"restoration":[127],"capabilities":[128],"datasets,":[135],"outperforming":[136],"existing":[137],"methods.":[138],"regime":[141],"is":[142],"universally":[143],"compatible,":[144],"no":[146],"architecture":[148],"modifications,":[149],"making":[150],"it":[151],"practical":[153],"solution":[154],"applications.":[158]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2024-03-07T00:00:00"}
