{"id":"https://openalex.org/W3035975550","doi":"https://doi.org/10.1007/s41095-020-0175-7","title":"iSeeBetter: Spatio-temporal video super-resolution using recurrent generative back-projection networks","display_name":"iSeeBetter: Spatio-temporal video super-resolution using recurrent generative back-projection networks","publication_year":2020,"publication_date":"2020-07-20","ids":{"openalex":"https://openalex.org/W3035975550","doi":"https://doi.org/10.1007/s41095-020-0175-7","mag":"3035975550"},"language":"en","primary_location":{"id":"doi:10.1007/s41095-020-0175-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-020-0175-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-020-0175-7.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://link.springer.com/content/pdf/10.1007/s41095-020-0175-7.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Aman Chadha","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Aman Chadha","raw_affiliation_strings":["Department of Computer Science, Stanford University, 450 Serra Mall, Stanford, CA 94305, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Stanford University, 450 Serra Mall, Stanford, CA 94305, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":null,"display_name":"John Britto","orcid":null},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Britto","raw_affiliation_strings":["Department of Computer Science, University of Massachusetts Amherst, Amherst, MA 01003, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Massachusetts Amherst, Amherst, MA 01003, USA","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"last","author":{"id":null,"display_name":"M. Mani Roja","orcid":null},"institutions":[{"id":"https://openalex.org/I169877490","display_name":"University of Mumbai","ror":"https://ror.org/032hdk172","country_code":"IN","type":"education","lineage":["https://openalex.org/I169877490"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M. Mani Roja","raw_affiliation_strings":["Department of Electronics and Telecommunication Engineering, University of Mumbai, Mumbai, Maharashtra 400032, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Telecommunication Engineering, University of Mumbai, Mumbai, Maharashtra 400032, India","institution_ids":["https://openalex.org/I169877490"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":1.7652,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.87185135,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"6","issue":"3","first_page":"307","last_page":"317"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9782999753952026,"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":0.9782999753952026,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.012799999676644802,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.002300000051036477,"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/discriminator","display_name":"Discriminator","score":0.6043000221252441},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.49889999628067017},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.48669999837875366},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4805000126361847},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47519999742507935},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.46630001068115234},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.42590001225471497},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.4065000116825104},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.37869998812675476},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.3450999855995178}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8087000250816345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6521999835968018},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.6043000221252441},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.49889999628067017},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.48669999837875366},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4805000126361847},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47519999742507935},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.46630001068115234},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.42590001225471497},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.4065000116825104},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.37869998812675476},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.3450999855995178},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.34119999408721924},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33730000257492065},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.33719998598098755},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.33629998564720154},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.334199994802475},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.32749998569488525},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32659998536109924},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3203999996185303},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.31310001015663147},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.3052999973297119},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.29910001158714294},{"id":"https://openalex.org/C50494287","wikidata":"https://www.wikidata.org/wiki/Q658467","display_name":"Texture synthesis","level":5,"score":0.2903999984264374},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.2888999879360199},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.2808000147342682},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.2799000144004822},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2718999981880188},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.27160000801086426},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.2694000005722046},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.2506999969482422}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s41095-020-0175-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-020-0175-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-020-0175-7.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2006.11161","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2006.11161","pdf_url":"https://arxiv.org/pdf/2006.11161","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":null,"raw_type":"text"},{"id":"pmh:oai:doaj.org/article:df23ae14f18d4ecb86a80066b48763dd","is_oa":true,"landing_page_url":"https://doaj.org/article/df23ae14f18d4ecb86a80066b48763dd","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Visual Media, Vol 6, Iss 3, Pp 307-317 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s41095-020-0175-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-020-0175-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-020-0175-7.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3035975550.pdf","grobid_xml":"https://content.openalex.org/works/W3035975550.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W567896383","https://openalex.org/W1677182931","https://openalex.org/W1885185971","https://openalex.org/W1947481528","https://openalex.org/W1981990039","https://openalex.org/W2016598597","https://openalex.org/W2062378984","https://openalex.org/W2064076387","https://openalex.org/W2113989386","https://openalex.org/W2117998419","https://openalex.org/W2136848157","https://openalex.org/W2159269332","https://openalex.org/W2170965888","https://openalex.org/W2210480155","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2320725294","https://openalex.org/W2331128040","https://openalex.org/W2476548250","https://openalex.org/W2557227117","https://openalex.org/W2602856279","https://openalex.org/W2607041014","https://openalex.org/W2726582817","https://openalex.org/W2736678009","https://openalex.org/W2747898905","https://openalex.org/W2769654144","https://openalex.org/W2781335552","https://openalex.org/W2798664922","https://openalex.org/W2923834406","https://openalex.org/W2962927175","https://openalex.org/W2963470893","https://openalex.org/W2963576560","https://openalex.org/W2963729050","https://openalex.org/W2963758027","https://openalex.org/W2964040059","https://openalex.org/W2964241990","https://openalex.org/W3013529009","https://openalex.org/W6605520847","https://openalex.org/W6672970576"],"related_works":[],"abstract_inverted_index":{"Recently,":[0],"learning-based":[1],"models":[2],"have":[3],"enhanced":[4],"the":[5,52,68,112,118,130,133,145,172],"performance":[6],"of":[7,23,35,70,73,120,132,177],"single-image":[8],"super-resolution":[9,97,103,148],"(SISR).":[10],"However,":[11],"applying":[12],"SISR":[13],"successively":[14],"to":[15,20,43,66,95,128],"each":[16],"video":[17,96],"frame":[18],"leads":[19],"a":[21,60,71,90,158,185],"lack":[22,72],"temporal":[24,109],"coherency.":[25],"Convolutional":[26],"neural":[27],"networks":[28,57,123],"(CNNs)":[29],"outperform":[30],"traditional":[31,141],"approaches":[32],"in":[33,171,175],"terms":[34],"image":[36,173],"quality":[37],"metrics":[38,165],"such":[39],"as":[40,124,157],"peak":[41],"signal":[42],"noise":[44],"ratio":[45],"(PSNR)":[46],"and":[47,108,114,190,203],"structural":[48],"similarity":[49],"(SSIM).":[50],"On":[51],"other":[53],"hand,":[54],"generative":[55,149],"adversarial":[56,150],"(GANs)":[58],"offer":[59],"competitive":[61],"advantage":[62],"by":[63],"being":[64],"able":[65],"mitigate":[67],"issue":[69],"finer":[74],"texture":[75],"details,":[76],"usually":[77],"seen":[78,139],"with":[79,140],"CNNs":[80],"when":[81],"super-resolving":[82],"at":[83],"large":[84],"upscaling":[85],"factors.":[86],"We":[87],"present":[88],"iSeeBetter,":[89],"novel":[91],"GAN-based":[92],"spatio-temporal":[93],"approach":[94],"(VSR)":[98],"that":[99,197],"renders":[100],"temporally":[101],"consistent":[102],"videos.":[104],"iSeeBetter":[105,198],"extracts":[106],"spatial":[107],"information":[110],"from":[111,147],"current":[113],"neighboring":[115],"frames":[116],"using":[117],"concept":[119],"recurrent":[121],"back-projection":[122],"its":[125],"generator.":[126],"Furthermore,":[127],"improve":[129],"\u201cnaturality\u201d":[131],"super-resolved":[134],"output":[135],"while":[136],"eliminating":[137],"artifacts":[138],"algorithms,":[142],"we":[143,183],"utilize":[144],"discriminator":[146],"network.":[151],"Although":[152],"mean":[153],"squared":[154],"error":[155],"(MSE)":[156],"primary":[159],"loss-minimization":[160],"objective":[161],"improves":[162],"PSNR/SSIM,":[163],"these":[164],"may":[166],"not":[167],"capture":[168],"fine":[169],"details":[170],"resulting":[174],"misrepresentation":[176],"perceptual":[178],"quality.":[179],"To":[180],"address":[181],"this,":[182],"use":[184],"four-fold":[186],"(MSE,":[187],"perceptual,":[188],"adversarial,":[189],"total-variation":[191],"loss":[192],"function.":[193],"Our":[194],"results":[195],"demonstrate":[196],"offers":[199],"superior":[200],"VSR":[201],"fidelity":[202],"surpasses":[204],"state-of-the-art":[205],"performance.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2020-06-25T00:00:00"}