{"id":"https://openalex.org/W7125901229","doi":"https://doi.org/10.1109/smc58881.2025.11343610","title":"Lightweight Dual Attention Multi-Scale Inverted Residual Neural Network for Image Inpainting","display_name":"Lightweight Dual Attention Multi-Scale Inverted Residual Neural Network for Image Inpainting","publication_year":2025,"publication_date":"2025-10-05","ids":{"openalex":"https://openalex.org/W7125901229","doi":"https://doi.org/10.1109/smc58881.2025.11343610"},"language":null,"primary_location":{"id":"doi:10.1109/smc58881.2025.11343610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343610","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5036481579","display_name":"Kuan-Hsien Liu","orcid":"https://orcid.org/0000-0002-1411-2113"},"institutions":[{"id":"https://openalex.org/I131948415","display_name":"National Taichung University of Science and Technology","ror":"https://ror.org/05bgcav40","country_code":"TW","type":"education","lineage":["https://openalex.org/I131948415"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Kuan-Hsien Liu","raw_affiliation_strings":["National Taichung University of Science and Technology,Department of Computer Science and Information Engineering,Taichung,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taichung University of Science and Technology,Department of Computer Science and Information Engineering,Taichung,Taiwan","institution_ids":["https://openalex.org/I131948415"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101482345","display_name":"Chun\u2010Chieh Chang","orcid":"https://orcid.org/0009-0005-9109-4034"},"institutions":[{"id":"https://openalex.org/I131948415","display_name":"National Taichung University of Science and Technology","ror":"https://ror.org/05bgcav40","country_code":"TW","type":"education","lineage":["https://openalex.org/I131948415"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chun-Chieh Chang","raw_affiliation_strings":["National Taichung University of Science and Technology,Department of Computer Science and Information Engineering,Taichung,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taichung University of Science and Technology,Department of Computer Science and Information Engineering,Taichung,Taiwan","institution_ids":["https://openalex.org/I131948415"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124059639","display_name":"Tsung-Jung Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tsung-Jung Liu","raw_affiliation_strings":["National Chung Hsing University,Department of Electrical Engineering,Taichung,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Chung Hsing University,Department of Electrical Engineering,Taichung,Taiwan","institution_ids":["https://openalex.org/I162838928"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036481579"],"corresponding_institution_ids":["https://openalex.org/I131948415"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.6846264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1008","last_page":"1013"},"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":0.6014999747276306,"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":0.6014999747276306,"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":0.1656000018119812,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.03539999946951866,"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/inpainting","display_name":"Inpainting","score":0.7712000012397766},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6219000220298767},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5224000215530396},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.49410000443458557},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48820000886917114},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4417000114917755},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4124999940395355},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3874000012874603},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38600000739097595}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.7712000012397766},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7706000208854675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7109000086784363},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6219000220298767},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5256999731063843},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5224000215530396},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.49410000443458557},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48820000886917114},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4417000114917755},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4124999940395355},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3874000012874603},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38600000739097595},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.36739999055862427},{"id":"https://openalex.org/C200873422","wikidata":"https://www.wikidata.org/wiki/Q5448821","display_name":"Filling-in","level":2,"score":0.3359000086784363},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.3206000030040741},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.290800005197525},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.290800005197525},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.26499998569488525},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.2630000114440918},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.26159998774528503},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.2590999901294708},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.2581000030040741},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.25589999556541443},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc58881.2025.11343610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343610","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6027196049690247,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320331164","display_name":"National Science and Technology Council","ror":"https://ror.org/00wnb9798"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1567822572","https://openalex.org/W1901129140","https://openalex.org/W2105038642","https://openalex.org/W2114768185","https://openalex.org/W2150864004","https://openalex.org/W2295936755","https://openalex.org/W2410358280","https://openalex.org/W2611104282","https://openalex.org/W2732026016","https://openalex.org/W2798365772","https://openalex.org/W2943229868","https://openalex.org/W2943488693","https://openalex.org/W2946726474","https://openalex.org/W2950689937","https://openalex.org/W2963163009","https://openalex.org/W2963420272","https://openalex.org/W2982763192","https://openalex.org/W2991377405","https://openalex.org/W3034419329","https://openalex.org/W3035512475","https://openalex.org/W3043547428","https://openalex.org/W3096831136","https://openalex.org/W3116501232","https://openalex.org/W3118356434","https://openalex.org/W3136958399","https://openalex.org/W3199003182","https://openalex.org/W3206335650","https://openalex.org/W4292829834","https://openalex.org/W4312383858","https://openalex.org/W4313051036","https://openalex.org/W4386002400","https://openalex.org/W4386074309","https://openalex.org/W4402667905","https://openalex.org/W4413277948"],"related_works":[],"abstract_inverted_index":{"We":[0],"propose":[1],"DA-MSIRNet,":[2],"a":[3],"lightweight":[4],"yet":[5],"innovative":[6],"architecture":[7],"for":[8,27,43,61,76,129],"high-quality":[9],"image":[10],"inpainting":[11],"that":[12,109],"significantly":[13],"enhances":[14],"the":[15],"standard":[16],"U-Net":[17],"through":[18,66],"four":[19],"key":[20],"innovations:":[21],"(1)":[22],"Context":[23],"Anchor":[24],"Attention":[25],"(CAA)":[26],"efficient":[28],"global":[29],"context":[30],"modeling":[31],"via":[32],"adaptive":[33],"region":[34],"selection,":[35],"(2)":[36],"Sparse":[37],"Self-Attention":[38],"(SpA),":[39],"inspired":[40],"by":[41,50],"Spa-former,":[42],"dynamic":[44],"and":[45,70,80,97,105,119],"precise":[46],"local":[47],"detail":[48],"refinement":[49],"focusing":[51],"on":[52,103,135],"salient":[53],"relationships,":[54],"(3)":[55],"Multi-Scale":[56],"Inverted":[57],"Residual":[58],"(MSIR)":[59],"modules":[60],"enhanced":[62],"multi-scale":[63],"feature":[64],"fusion":[65],"optimized":[67],"skip":[68],"connections,":[69],"(4)":[71],"Structural":[72],"Similarity":[73],"(SSIM)":[74],"Loss":[75],"improved":[77],"perceptual":[78],"quality":[79],"fidelity.":[81],"DA-MSIRNet":[82,110,131],"effectively":[83],"addresses":[84],"critical":[85],"limitations":[86],"of":[87],"existing":[88],"methods,":[89],"including":[90],"GAN":[91],"instability,":[92],"U-Net\u2019s":[93],"restricted":[94],"receptive":[95],"field,":[96],"Transformer":[98],"computational":[99,125],"complexity.":[100],"Comprehensive":[101],"evaluations":[102],"Places2":[104],"CelebA-HQ":[106],"datasets":[107],"demonstrate":[108],"achieves":[111],"state-of-the-art":[112],"performance":[113],"in":[114],"both":[115],"quantitative":[116],"metrics":[117],"(PSNR/SSIM/FID)":[118],"visual":[120],"quality,":[121],"while":[122],"maintaining":[123],"superior":[124],"efficiency.":[126],"The":[127],"code":[128],"our":[130],"is":[132],"publicly":[133],"available":[134],"GitHub:":[136],"https://github.com/nutcliu2507/DA-MSIRNet.":[137]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-29T00:00:00"}