{"id":"https://openalex.org/W4402351389","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650349","title":"TargetSR:Towards Semantic location Real-World Image Super-Resolution with Diffusion Prior","display_name":"TargetSR:Towards Semantic location Real-World Image Super-Resolution with Diffusion Prior","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402351389","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650349"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650349","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5111235333","display_name":"Shouhao Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shouhao Wu","raw_affiliation_strings":["Wuhan Textile University,School of Computer Science and Artificial Intelligence,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan Textile University,School of Computer Science and Artificial Intelligence,Wuhan,China","institution_ids":["https://openalex.org/I4210119942"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114911224","display_name":"Junjie Zhang","orcid":"https://orcid.org/0000-0002-3336-5781"},"institutions":[{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjie Zhang","raw_affiliation_strings":["Wuhan Textile University,School of Computer Science and Artificial Intelligence,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan Textile University,School of Computer Science and Artificial Intelligence,Wuhan,China","institution_ids":["https://openalex.org/I4210119942"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210119942"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":1.0,"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":1.0,"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":0.9986000061035156,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9900000095367432,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.658121645450592},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49999213218688965},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.4625294804573059},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4565108120441437},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44419413805007935},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4344812035560608},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4211900234222412},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07934209704399109}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.658121645450592},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49999213218688965},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.4625294804573059},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4565108120441437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44419413805007935},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4344812035560608},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4211900234222412},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07934209704399109},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650349","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W2102166818","https://openalex.org/W2129069237","https://openalex.org/W2242218935","https://openalex.org/W2476548250","https://openalex.org/W2739757502","https://openalex.org/W2741137940","https://openalex.org/W2866634454","https://openalex.org/W2891158090","https://openalex.org/W2895598217","https://openalex.org/W2962770929","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2963814095","https://openalex.org/W2987150909","https://openalex.org/W3012118477","https://openalex.org/W3034981886","https://openalex.org/W3036167779","https://openalex.org/W3096739052","https://openalex.org/W3107811908","https://openalex.org/W3139422607","https://openalex.org/W3166909897","https://openalex.org/W3203631022","https://openalex.org/W3204971388","https://openalex.org/W4214745154","https://openalex.org/W4223483730","https://openalex.org/W4312458589","https://openalex.org/W4312933868","https://openalex.org/W4318718936","https://openalex.org/W4382462760","https://openalex.org/W4386273147","https://openalex.org/W4386302521","https://openalex.org/W4390873020","https://openalex.org/W4390873054","https://openalex.org/W4390874575","https://openalex.org/W4400524387","https://openalex.org/W4402754171","https://openalex.org/W6679045638","https://openalex.org/W6779823529"],"related_works":["https://openalex.org/W2362774332","https://openalex.org/W4249245269","https://openalex.org/W2025681766","https://openalex.org/W2765548132","https://openalex.org/W2159897444","https://openalex.org/W2542402767","https://openalex.org/W3023086044","https://openalex.org/W2142226356","https://openalex.org/W2056165575","https://openalex.org/W3210000161"],"abstract_inverted_index":{"In":[0],"Real-World":[1,73],"super-resolution,":[2],"the":[3,20,40,47,50,64,78,93,99,116,124,130,140,149,157,167,175,178,181,190,198],"intricate":[4],"degradation":[5,155,165],"of":[6,49,80,98,134,154,164,177,184,193,201],"images":[7,82],"can":[8],"result":[9],"in":[10,19,45,72,77,108,166,196],"artifacts":[11],"or":[12],"textures":[13,206],"that":[14,207],"are":[15,208],"not":[16],"sufficiently":[17],"rich":[18,87],"generated":[21],"high-resolution":[22,81],"image.":[23],"Several":[24],"studies":[25],"have":[26],"progressively":[27],"embraced":[28],"Stable":[29],"Diffusion":[30],"as":[31],"a":[32],"prior":[33],"for":[34],"generating":[35],"more":[36,209],"textured":[37],"outcomes.":[38],"Nevertheless,":[39],"diffusion":[41],"model":[42],"faces":[43],"challenges":[44],"preserving":[46],"fidelity":[48,97,176],"image":[51,179,185,203],"during":[52,180],"denoising.":[53],"To":[54],"tackle":[55],"this":[56],"issue,":[57],"we":[58,143],"introduce":[59],"TargetSR.":[60],"This":[61,89,127],"framework":[62],"enhances":[63,129,156],"network\u2019s":[65,131,158],"ability":[66],"to":[67,91,147,160,173,204],"recognize":[68],"and":[69,86,95,105,114,119,211],"localize":[70],"objects":[71,107],"degraded":[74,150],"images,":[75],"resulting":[76],"generation":[79],"with":[83],"both":[84],"reasonable":[85,210],"textures.":[88],"contributes":[90,172],"improving":[92],"semantic":[94],"visual":[96],"images.":[100,151],"Our":[101],"Object-CLIP":[102],"module":[103],"identifies":[104],"locates":[106],"an":[109,202],"image,":[110],"retrieves":[111],"corresponding":[112],"text,":[113],"integrates":[115],"encoded":[117],"text":[118,137],"object":[120],"location":[121],"information":[122,135],"into":[123],"denoising":[125,182],"network.":[126],"integration":[128],"effective":[132],"utilization":[133],"from":[136],"features.":[138],"During":[139],"preparation":[141],"stage,":[142],"employ":[144],"correction-recovery":[145],"processing":[146],"manipulate":[148],"The":[152],"correction":[153],"capacity":[159],"address":[161],"various":[162],"types":[163],"real":[168],"world,":[169],"while":[170],"recovery":[171],"enhancing":[174],"stage":[183],"generation.":[186],"Experimental":[187],"results":[188],"demonstrate":[189],"enhanced":[191],"effectiveness":[192],"our":[194],"approach":[195],"leveraging":[197],"textual":[199],"features":[200],"generate":[205],"rich.":[212]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
