{"id":"https://openalex.org/W4411635488","doi":"https://doi.org/10.1145/3731715.3733467","title":"A Dual Coupled Feature Pyramid for Traditional Paintings Inpainting with Multi-level Semantic Filtering","display_name":"A Dual Coupled Feature Pyramid for Traditional Paintings Inpainting with Multi-level Semantic Filtering","publication_year":2025,"publication_date":"2025-06-25","ids":{"openalex":"https://openalex.org/W4411635488","doi":"https://doi.org/10.1145/3731715.3733467"},"language":"en","primary_location":{"id":"doi:10.1145/3731715.3733467","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3731715.3733467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 International Conference on Multimedia Retrieval","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":null,"display_name":"Biao Yang","orcid":"https://orcid.org/0009-0005-9446-4424"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biao Yang","raw_affiliation_strings":["Department of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0005-9446-4424","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zihan Chen","orcid":"https://orcid.org/0009-0006-6428-0445"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihan Chen","raw_affiliation_strings":["Department of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0006-6428-0445","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100388126","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0002-2028-048X"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhang","raw_affiliation_strings":["Department of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-2028-048X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9349,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.75838442,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2088","last_page":"2092"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9939000010490417,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9939000010490417,"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/T12650","display_name":"Aesthetic Perception and Analysis","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9648000001907349,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.940122127532959},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.6859784126281738},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6628663539886475},{"id":"https://openalex.org/keywords/painting","display_name":"Painting","score":0.6463738679885864},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6319321990013123},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6281479597091675},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6024867296218872},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5920342206954956},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.440575510263443},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.428791344165802},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3775642216205597},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21493062376976013},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.16915038228034973},{"id":"https://openalex.org/keywords/visual-arts","display_name":"Visual arts","score":0.11851266026496887},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.06177598237991333}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.940122127532959},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.6859784126281738},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6628663539886475},{"id":"https://openalex.org/C205783811","wikidata":"https://www.wikidata.org/wiki/Q11629","display_name":"Painting","level":2,"score":0.6463738679885864},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6319321990013123},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6281479597091675},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6024867296218872},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5920342206954956},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.440575510263443},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.428791344165802},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3775642216205597},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21493062376976013},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.16915038228034973},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.11851266026496887},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06177598237991333},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3731715.3733467","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3731715.3733467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1934344900","https://openalex.org/W2093212899","https://openalex.org/W2096461046","https://openalex.org/W2105038642","https://openalex.org/W2145023731","https://openalex.org/W2168878035","https://openalex.org/W2559655401","https://openalex.org/W2798365772","https://openalex.org/W2962785568","https://openalex.org/W2963981733","https://openalex.org/W2982763192","https://openalex.org/W2991377405","https://openalex.org/W3033696290","https://openalex.org/W3035512475","https://openalex.org/W3043445295","https://openalex.org/W3203538104","https://openalex.org/W4214708455","https://openalex.org/W4249009392","https://openalex.org/W4294233779","https://openalex.org/W4308233764","https://openalex.org/W4312383858","https://openalex.org/W4312747027","https://openalex.org/W4388624454","https://openalex.org/W4396731196","https://openalex.org/W6766047350"],"related_works":["https://openalex.org/W2380775572","https://openalex.org/W2213520135","https://openalex.org/W2244018504","https://openalex.org/W4242046654","https://openalex.org/W3174923100","https://openalex.org/W3134074939","https://openalex.org/W2117562399","https://openalex.org/W4298074124","https://openalex.org/W2587407424","https://openalex.org/W1523707610"],"abstract_inverted_index":{"Recently,":[0],"deep":[1],"learning":[2],"techniques":[3],"have":[4,96],"been":[5,97],"widely":[6],"applied":[7,87],"to":[8,25,49,70,75,88],"image":[9],"generation":[10],"and":[11,53,74],"inpainting":[12],"field.":[13],"However,":[14],"most":[15],"existing":[16],"methods":[17],"overlooked":[18],"the":[19,36,51,77,90],"importance":[20],"of":[21,92],"structural":[22],"information,":[23],"leading":[24],"suboptimal":[26],"results":[27],"when":[28],"facing":[29],"large":[30],"damaged":[31],"areas.":[32],"To":[33],"compensate":[34],"for":[35],"shortcomings,":[37],"we":[38],"develop":[39],"a":[40,59,63,81],"dual":[41],"coupled":[42],"feature":[43],"pyramid":[44],"network":[45,105],"in":[46,58],"this":[47],"paper":[48],"model":[50],"Structure":[52],"Texture":[54],"features":[55,73],"(ST":[56],"features)":[57],"disentangled":[60],"way.":[61],"Then,":[62],"Feature":[64],"Integration":[65],"Module":[66],"(FIM)":[67],"is":[68,86],"employed":[69],"fuse":[71],"ST":[72],"generate":[76],"inpainted":[78],"results.":[79],"Finally,":[80],"Multi-Level":[82],"Semantic":[83],"Filter":[84],"(MLSF)":[85],"enhance":[89],"characterization":[91],"semantic":[93],"details.":[94],"Experiments":[95],"carried":[98],"out":[99],"on":[100],"2":[101],"datasets,":[102],"where":[103],"our":[104],"exhibits":[106],"superior":[107],"performances":[108],"than":[109],"other":[110],"competitors.":[111]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
