{"id":"https://openalex.org/W4392255645","doi":"https://doi.org/10.1145/3633637.3633730","title":"Adaptive Blind Super-resolution Model based on Degradation Representation","display_name":"Adaptive Blind Super-resolution Model based on Degradation Representation","publication_year":2023,"publication_date":"2023-10-27","ids":{"openalex":"https://openalex.org/W4392255645","doi":"https://doi.org/10.1145/3633637.3633730"},"language":"en","primary_location":{"id":"doi:10.1145/3633637.3633730","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3633637.3633730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 12th International Conference on Computing and Pattern Recognition","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/A5103064321","display_name":"Xu Yao","orcid":"https://orcid.org/0009-0007-2442-6275"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xu Yao","raw_affiliation_strings":["Beijing Jiaotong University, China"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073025681","display_name":"Houjin Chen","orcid":"https://orcid.org/0000-0002-9247-8495"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Houjin Chen","raw_affiliation_strings":["Beijing Jiaotong University, China"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057502807","display_name":"Jia Sun","orcid":"https://orcid.org/0000-0002-9188-7000"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Sun","raw_affiliation_strings":["Beijing Jiaotong University, China"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100653133","display_name":"Yanfeng Li","orcid":"https://orcid.org/0000-0002-8441-7721"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfeng Li","raw_affiliation_strings":["Beijing Jiaotong University, China"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073649321","display_name":"Jiayu Wei","orcid":"https://orcid.org/0009-0008-1054-4307"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayu Wei","raw_affiliation_strings":["Beijing Jiaotong University, China"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103064321"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2066991,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"409","last_page":"415"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9897000193595886,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9732000231742859,"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/kernel","display_name":"Kernel (algebra)","score":0.7803707122802734},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6835435032844543},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6695549488067627},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6275017261505127},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5831852555274963},{"id":"https://openalex.org/keywords/degradation","display_name":"Degradation (telecommunications)","score":0.5659759044647217},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5063208341598511},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48868873715400696},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4769814610481262},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45288538932800293},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4463731050491333},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4311808943748474},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2427346408367157},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2392536997795105},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.0689573884010315}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7803707122802734},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6835435032844543},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6695549488067627},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6275017261505127},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5831852555274963},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.5659759044647217},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5063208341598511},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48868873715400696},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4769814610481262},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45288538932800293},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4463731050491333},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4311808943748474},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2427346408367157},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2392536997795105},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0689573884010315},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3633637.3633730","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3633637.3633730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 12th International Conference on Computing and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1676314349","https://openalex.org/W1930824406","https://openalex.org/W2047920195","https://openalex.org/W2121927366","https://openalex.org/W2167191464","https://openalex.org/W2192954843","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2476548250","https://openalex.org/W2741137940","https://openalex.org/W2747898905","https://openalex.org/W2795024892","https://openalex.org/W2866634454","https://openalex.org/W2901534369","https://openalex.org/W2962814024","https://openalex.org/W2963372104","https://openalex.org/W2963610452","https://openalex.org/W2963729050","https://openalex.org/W2964125708","https://openalex.org/W2964277374","https://openalex.org/W2983467712","https://openalex.org/W3016355810","https://openalex.org/W3034785019","https://openalex.org/W3035302306","https://openalex.org/W3101659800","https://openalex.org/W3163925244","https://openalex.org/W3168684807","https://openalex.org/W3174841291","https://openalex.org/W4249142012","https://openalex.org/W4255556797","https://openalex.org/W6600238479","https://openalex.org/W6600838504","https://openalex.org/W6603527449","https://openalex.org/W6636700617"],"related_works":["https://openalex.org/W2357322570","https://openalex.org/W2997591215","https://openalex.org/W2227541280","https://openalex.org/W2029783634","https://openalex.org/W2979181971","https://openalex.org/W2888591766","https://openalex.org/W90581812","https://openalex.org/W2808332603","https://openalex.org/W2125921314","https://openalex.org/W1977427710"],"abstract_inverted_index":{"Most":[0],"CNN-based":[1],"super-resolution":[2,97,175],"methods":[3,31,46,64],"are":[4],"normally":[5],"designed":[6],"based":[7,99,157],"on":[8,100,158],"the":[9,20,27,44,48,52,57,69,73,78,82,108,114,119,124,136,145,172],"assumption":[10],"that":[11,165],"low-resolution":[12,120],"images":[13,156],"have":[14],"a":[15],"fixed":[16],"degradation":[17,22,125,129,160],"pattern.":[18],"When":[19],"actual":[21],"differs":[23],"from":[24,118],"its":[25],"assumption,":[26],"performance":[28],"of":[29,43,50,63,81,140],"these":[30,90],"will":[32],"severely":[33],"degrade.":[34],"In":[35],"order":[36],"to":[37,55,66,131,153],"deal":[38],"with":[39,171],"this":[40,61,105],"problem,":[41],"most":[42],"previous":[45],"adopt":[47],"way":[49],"predicting":[51],"blur":[53,70,83,142],"kernel":[54,84],"reconstruct":[56,154],"SR":[58],"image.":[59,122],"However,":[60],"type":[62],"needs":[65],"accurately":[67],"predict":[68],"kernel,":[71],"where":[72],"error":[74],"propagation":[75],"caused":[76],"by":[77],"estimation":[79],"deviation":[80],"cannot":[85],"be":[86],"avoided.":[87],"To":[88],"address":[89],"issues,":[91],"we":[92],"propose":[93],"an":[94],"adaptive":[95,146],"blind":[96,174],"model":[98],"degenerate":[101],"representation":[102,137],"(ABSRM)":[103],"in":[104,135],"paper.":[106],"First,":[107],"shallow":[109],"feature":[110],"extraction":[111],"module":[112,148],"extracts":[113],"original":[115],"blurriness":[116],"features":[117],"(LR)":[121],"Second,":[123],"representations":[126,130],"generator":[127],"generates":[128],"distinguish":[132],"various":[133,151],"degradations":[134,152],"space":[138],"instead":[139],"specific":[141],"kernels.":[143],"Third,":[144],"reconstruction":[147],"flexibly":[149],"handles":[150],"clearer":[155],"different":[159],"representations.":[161],"Extensive":[162],"experiments":[163],"show":[164],"our":[166],"ABSRM":[167],"shows":[168],"advantages":[169],"compared":[170],"state-of-the-art":[173],"methods.":[176]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}