{"id":"https://openalex.org/W4200529136","doi":"https://doi.org/10.1109/bigdia53151.2021.9619702","title":"Dynamic Image Super-resolution Network Based on Semantic Prior","display_name":"Dynamic Image Super-resolution Network Based on Semantic Prior","publication_year":2021,"publication_date":"2021-10-29","ids":{"openalex":"https://openalex.org/W4200529136","doi":"https://doi.org/10.1109/bigdia53151.2021.9619702"},"language":"en","primary_location":{"id":"doi:10.1109/bigdia53151.2021.9619702","doi":"https://doi.org/10.1109/bigdia53151.2021.9619702","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdia53151.2021.9619702","pdf_url":null,"source":{"id":"https://openalex.org/S7407088196","display_name":"International Conference on Big Data and Information Analytics (BigDIA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 7th International Conference on Big Data and Information Analytics (BigDIA)","raw_type":"proceedings-article"},"parent_works":[],"lineage":["https://openalex.org/W4200529136"],"child_works_count":0,"type":"conference-paper","is_traditional":true,"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/A5089366760","display_name":"Mingwei Yang","orcid":"https://orcid.org/0000-0003-0086-870X","observed_orcids":["https://orcid.org/0000-0003-0086-870X"]},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingwei Yang","raw_affiliation_strings":["College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088143484","display_name":"Xinying Xu","orcid":"https://orcid.org/0000-0001-5968-5989","observed_orcids":["https://orcid.org/0000-0001-5968-5989"]},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinying Xu","raw_affiliation_strings":["College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lan Cheng","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lan Cheng","raw_affiliation_strings":["College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100786749","display_name":"Zhe Zhang","orcid":"https://orcid.org/0000-0003-0886-4412","observed_orcids":["https://orcid.org/0000-0003-0886-4412"]},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Zhang","raw_affiliation_strings":["College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9086337"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"47","last_page":"51"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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":0.00039999998989515007,"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":9.999999747378752e-05,"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/image-super-resolution","display_name":"image super-resolution","score":0.9240000247955322},{"id":"https://openalex.org/keywords/semantic-priors","display_name":"semantic priors","score":0.7889999747276306},{"id":"https://openalex.org/keywords/texture-restoration","display_name":"texture restoration","score":0.8109999895095825},{"id":"https://openalex.org/keywords/deep-features","display_name":"deep features","score":0.6710000038146973},{"id":"https://openalex.org/keywords/high-resolution-image-reconstruction","display_name":"high-resolution image reconstruction","score":0.6510000228881836},{"id":"https://openalex.org/keywords/complex-scenes","display_name":"complex scenes","score":0.5049999952316284}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8027313947677612},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7203476428985596},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7183929681777954},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.649373471736908},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6331617832183838},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5940601229667664},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5273160338401794},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.508145809173584},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4821862280368805},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46324220299720764},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4577888250350952},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.45625242590904236},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.437531977891922},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.42272084951400757},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3612663745880127},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.20867013931274414},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.19316673278808594},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdia53151.2021.9619702","doi":"https://doi.org/10.1109/bigdia53151.2021.9619702","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdia53151.2021.9619702","pdf_url":null,"source":{"id":"https://openalex.org/S7407088196","display_name":"International Conference on Big Data and Information Analytics (BigDIA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 7th International Conference on Big Data and Information Analytics (BigDIA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G2962089291","display_name":null,"funder_award_id":"2021-046","funder_id":"https://openalex.org/F4320321884","funder_display_name":"Shanxi Scholarship Council of China"},{"id":"https://openalex.org/G5921764631","display_name":null,"funder_award_id":"62073232","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7119761462","display_name":null,"funder_award_id":"201901D211079","funder_id":"https://openalex.org/F4320322666","funder_display_name":"Natural Science Foundation of Shanxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321884","display_name":"Shanxi Scholarship Council of China","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320322666","display_name":"Natural Science Foundation of Shanxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W625228870","https://openalex.org/W1686810756","https://openalex.org/W1885185971","https://openalex.org/W2047280020","https://openalex.org/W2107272455","https://openalex.org/W2163935418","https://openalex.org/W2194775991","https://openalex.org/W2242218935","https://openalex.org/W2331128040","https://openalex.org/W2507296351","https://openalex.org/W2550673061","https://openalex.org/W2552465644","https://openalex.org/W2607041014","https://openalex.org/W2737258237","https://openalex.org/W2780624730","https://openalex.org/W2940262938","https://openalex.org/W2963446712","https://openalex.org/W2963470893","https://openalex.org/W2963814095","https://openalex.org/W2964051148","https://openalex.org/W2964125708","https://openalex.org/W3204647170"],"related_works":["https://openalex.org/W4406291930","https://openalex.org/W2963814095","https://openalex.org/W2781911682","https://openalex.org/W4394618602","https://openalex.org/W4392824670","https://openalex.org/W3096941525","https://openalex.org/W4391172116","https://openalex.org/W3141060964","https://openalex.org/W4413884216","https://openalex.org/W4214824195"],"abstract_inverted_index":{"In":[0,79],"recent":[1],"years,":[2],"due":[3],"to":[4,39,68,93,100,114],"the":[5,11,41,69,77,80,84,90,94,97,107,111,120,127],"vigorous":[6],"development":[7],"of":[8,13,61,76,96,144],"deep":[9,74,85],"learning,":[10],"super-resolution":[12,112],"a":[14,35],"single":[15],"image":[16],"has":[17,135],"made":[18],"great":[19],"progress,":[20],"but":[21],"there":[22],"are":[23,64],"still":[24],"challenges":[25],"in":[26,110,138],"texture":[27,117,139],"restoration.":[28],"To":[29],"recover":[30,115],"natural":[31],"textures,":[32],"we":[33],"build":[34],"dynamic":[36,62],"convolutional":[37],"network":[38],"model":[40,104],"diverse":[42],"mapping":[43,57],"relations.":[44],"Faced":[45],"with":[46,126],"different":[47,56,101,116],"low-resolution":[48],"images,":[49],"it":[50],"can":[51,87,105],"reconstruct":[52],"high-resolution":[53],"images":[54,143],"through":[55],"relationships.":[58],"The":[59],"parameters":[60,109],"layers":[63],"adaptively":[65],"generated":[66],"according":[67,99],"semantic":[70],"prior":[71],"described":[72],"by":[73],"features":[75,86],"input.":[78],"convolution":[81],"neural":[82],"network,":[83,113],"often":[88],"extract":[89],"regions":[91],"related":[92],"semantics":[95],"image.":[98],"regions,":[102],"our":[103],"change":[106],"transmission":[108],"details.":[118],"Finally,":[119],"experimental":[121],"results":[122],"show":[123],"that,":[124],"compared":[125],"most":[128],"advanced":[129],"SFT":[130],"-GAN":[131],"method,":[132],"this":[133],"method":[134],"better":[136],"performance":[137],"restoration,":[140],"especially":[141],"for":[142],"complex":[145],"scenes.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-11-14T11:04:58.165337","created_date":"2021-12-31T00:00:00"}