{"id":"https://openalex.org/W4390214642","doi":"https://doi.org/10.48550/arxiv.2312.14502","title":"ViStripformer: A Token-Efficient Transformer for Versatile Video Restoration","display_name":"ViStripformer: A Token-Efficient Transformer for Versatile Video Restoration","publication_year":2023,"publication_date":"2023-12-22","ids":{"openalex":"https://openalex.org/W4390214642","doi":"https://doi.org/10.48550/arxiv.2312.14502"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2312.14502","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.14502","pdf_url":"https://arxiv.org/pdf/2312.14502","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/2312.14502","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084044283","display_name":"Fu-Jen Tsai","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tsai, Fu-Jen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016386447","display_name":"Yan\u2010Tsung Peng","orcid":"https://orcid.org/0000-0002-3802-1670"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng, Yan-Tsung","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100871611","display_name":"Chen\u2010Yu Chang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chang, Chen-Yu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104219886","display_name":"Chan-Yu Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Chan-Yu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002217153","display_name":"Yen\u2010Yu Lin","orcid":"https://orcid.org/0000-0002-7183-6070"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Yen-Yu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035164036","display_name":"Chung-Chi Tsai","orcid":"https://orcid.org/0000-0003-1792-9978"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tsai, Chung-Chi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5051264473","display_name":"Chia\u2010Wen Lin","orcid":"https://orcid.org/0000-0002-9097-2318"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Chia-Wen","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5084044283"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9984999895095825,"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":0.9973999857902527,"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/computer-science","display_name":"Computer science","score":0.7607365846633911},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.649950385093689},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5774008631706238},{"id":"https://openalex.org/keywords/deblurring","display_name":"Deblurring","score":0.545994758605957},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5381643772125244},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.5345446467399597},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.3798954486846924},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.16926419734954834},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09669947624206543},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.07053649425506592},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06320101022720337}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7607365846633911},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.649950385093689},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5774008631706238},{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.545994758605957},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5381643772125244},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.5345446467399597},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.3798954486846924},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.16926419734954834},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09669947624206543},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.07053649425506592},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06320101022720337},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2312.14502","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.14502","pdf_url":"https://arxiv.org/pdf/2312.14502","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.2312.14502","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2312.14502","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:2312.14502","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.14502","pdf_url":"https://arxiv.org/pdf/2312.14502","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":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390214642.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2031788393","https://openalex.org/W791927757","https://openalex.org/W2182590612","https://openalex.org/W2905397092","https://openalex.org/W3153582293","https://openalex.org/W3207832039","https://openalex.org/W2269775642","https://openalex.org/W3080537281","https://openalex.org/W2289746762","https://openalex.org/W2139384960"],"abstract_inverted_index":{"Video":[0],"restoration":[1,29,155],"is":[2,52,123],"a":[3],"low-level":[4],"vision":[5,56],"task":[6],"that":[7,142],"seeks":[8],"to":[9,26,74,112],"restore":[10],"clean,":[11],"sharp":[12],"videos":[13],"from":[14,23],"quality-degraded":[15],"frames.":[16],"One":[17],"would":[18],"use":[19],"the":[20,32,35,41,136,143],"temporal":[21,94],"information":[22],"adjacent":[24],"frames":[25,99],"make":[27],"video":[28,59,98,154,158],"successful.":[30],"Recently,":[31],"success":[33],"of":[34,80],"Transformer":[36],"has":[37],"raised":[38],"awareness":[39],"in":[40,103],"computer-vision":[42],"community.":[43],"However,":[44],"its":[45],"self-attention":[46],"mechanism":[47],"requires":[48],"much":[49,131],"memory,":[50],"which":[51,69],"unsuitable":[53],"for":[54,90,108],"high-resolution":[55],"tasks":[57],"like":[58],"restoration.":[60],"In":[61],"this":[62],"paper,":[63],"we":[64],"propose":[65],"ViStripformer":[66,122],"(Video":[67],"Stripformer),":[68],"utilizes":[70],"spatio-temporal":[71],"strip":[72,82,87],"attention":[73,83,88],"catch":[75],"long-range":[76],"data":[77],"correlations,":[78],"consisting":[79],"intra-frame":[81],"(Intra-SA)":[84],"and":[85,93,105,110,119,126,161],"inter-frame":[86],"(Inter-SA)":[89],"extracting":[91],"spatial":[92],"information.":[95],"It":[96],"decomposes":[97],"into":[100],"strip-shaped":[101],"features":[102],"horizontal":[104],"vertical":[106],"directions":[107],"Intra-SA":[109],"Inter-SA":[111],"address":[113],"degradation":[114],"patterns":[115],"with":[116,130,149],"various":[117],"orientations":[118],"magnitudes.":[120],"Besides,":[121],"an":[124],"effective":[125],"efficient":[127],"transformer":[128],"architecture":[129],"lower":[132],"memory":[133],"usage":[134],"than":[135],"vanilla":[137],"transformer.":[138],"Extensive":[139],"experiments":[140],"show":[141],"proposed":[144],"model":[145],"achieves":[146],"superior":[147],"results":[148],"fast":[150],"inference":[151],"time":[152],"on":[153],"tasks,":[156],"including":[157],"deblurring,":[159],"demoireing,":[160],"deraining.":[162]},"counts_by_year":[],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2023-12-26T00:00:00"}