{"id":"https://openalex.org/W4304091752","doi":"https://doi.org/10.1145/3503161.3547951","title":"Rethinking Super-Resolution as Text-Guided Details Generation","display_name":"Rethinking Super-Resolution as Text-Guided Details Generation","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4304091752","doi":"https://doi.org/10.1145/3503161.3547951"},"language":"en","primary_location":{"id":"doi:10.1145/3503161.3547951","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3547951","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","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/A5036812879","display_name":"Chenxi Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenxi Ma","raw_affiliation_strings":["School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Shanghai Collaborative Innovation Center of Intelligent Visual Computing, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Shanghai Collaborative Innovation Center of Intelligent Visual Computing, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081115024","display_name":"Bo Yan","orcid":"https://orcid.org/0000-0003-0256-9682"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Yan","raw_affiliation_strings":["School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Shanghai Collaborative Innovation Center of Intelligent Visual Computing, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Shanghai Collaborative Innovation Center of Intelligent Visual Computing, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059658260","display_name":"Qing Lin","orcid":"https://orcid.org/0000-0002-1346-0167"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Lin","raw_affiliation_strings":["School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Shanghai Collaborative Innovation Center of Intelligent Visual Computing, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Shanghai Collaborative Innovation Center of Intelligent Visual Computing, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048621299","display_name":"Weimin Tan","orcid":"https://orcid.org/0000-0001-7677-4772"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weimin Tan","raw_affiliation_strings":["School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Shanghai Collaborative Innovation Center of Intelligent Visual Computing, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Shanghai Collaborative Innovation Center of Intelligent Visual Computing, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109616081","display_name":"Siming Chen","orcid":"https://orcid.org/0000-0002-2690-3588"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siming Chen","raw_affiliation_strings":["School of Data Science, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Data Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5036812879"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.301,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.63603308,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3461","last_page":"3469"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9950000047683716,"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":0.9950000047683716,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9799000024795532,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.9742000102996826,"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":0.619244396686554}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.619244396686554}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3503161.3547951","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3547951","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1205828119","display_name":null,"funder_award_id":"21ZR1406600, 21ZR1403300","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W2102166818","https://openalex.org/W2131774270","https://openalex.org/W2133665775","https://openalex.org/W2251522012","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2963583792","https://openalex.org/W2964024144","https://openalex.org/W2965289598","https://openalex.org/W2987285147","https://openalex.org/W3023742835","https://openalex.org/W3034352949","https://openalex.org/W3035316078","https://openalex.org/W3035605421","https://openalex.org/W3127393268","https://openalex.org/W4286696412","https://openalex.org/W4298289240","https://openalex.org/W6601067093"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655","https://openalex.org/W2359140296"],"abstract_inverted_index":{"Deep":[0],"neural":[1],"networks":[2],"have":[3],"greatly":[4],"promoted":[5],"the":[6,19,27,33,62,81,86,90,94,99,116,119,128,138,151,154,158],"performance":[7],"of":[8,29,93,153],"single":[9,20],"image":[10,30,67,76,122,134],"super-resolution":[11],"(SISR).":[12],"Conventional":[13],"methods":[14],"still":[15],"resort":[16],"to":[17,38,71,80,161],"restoring":[18],"high-resolution":[21],"(HR)":[22],"solution":[23],"only":[24],"based":[25],"on":[26],"input":[28],"modality.":[31],"However,":[32],"image-level":[34],"information":[35,117],"is":[36],"insufficient":[37],"predict":[39],"adequate":[40],"details":[41,135],"and":[42,89,121,147],"photo-realistic":[43],"visual":[44,91],"quality":[45,92],"facing":[46],"large":[47],"upscaling":[48],"factors":[49],"(\u00d78,":[50],"\u00d716).":[51],"In":[52],"this":[53],"paper,":[54],"we":[55,97],"propose":[56],"a":[57,65,107,142],"new":[58],"perspective":[59],"that":[60,77,136],"regards":[61],"SISR":[63,104],"as":[64],"semantic":[66,87],"detail":[68],"enhancement":[69],"problem":[70],"generate":[72,132],"semantically":[73],"reasonable":[74],"HR":[75,133],"are":[78],"faithful":[79],"ground":[82],"truth.":[83],"To":[84],"enhance":[85],"accuracy":[88],"reconstructed":[95],"image,":[96],"explore":[98],"multi-modal":[100],"fusion":[101],"learning":[102],"in":[103],"by":[105],"proposing":[106],"Text-Guided":[108],"Super-Resolution":[109],"(TGSR)":[110],"framework,":[111],"which":[112,156],"can":[113],"effectively":[114],"utilize":[115],"from":[118,125],"text":[120,139,159],"modalities.":[123],"Different":[124],"existing":[126],"methods,":[127],"proposed":[129],"TGSR":[130],"could":[131],"match":[137],"descriptions":[140],"through":[141],"coarse-to-fine":[143],"process.":[144],"Extensive":[145],"experiments":[146],"ablation":[148],"studies":[149],"demonstrate":[150],"effect":[152],"TGSR,":[155],"exploits":[157],"reference":[160],"recover":[162],"realistic":[163],"images.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}