{"id":"https://openalex.org/W4402981825","doi":"https://doi.org/10.1109/icme57554.2024.10687486","title":"Edge-Guided Mural Image Inpainting by Integrating Local and Global Information and Multiple Color Spaces","display_name":"Edge-Guided Mural Image Inpainting by Integrating Local and Global Information and Multiple Color Spaces","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402981825","doi":"https://doi.org/10.1109/icme57554.2024.10687486"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10687486","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10687486","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","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/A5100662852","display_name":"Guodong Li","orcid":"https://orcid.org/0000-0002-1327-0005"},"institutions":[{"id":"https://openalex.org/I116265982","display_name":"Qinghai University","ror":"https://ror.org/05h33bt13","country_code":"CN","type":"education","lineage":["https://openalex.org/I116265982"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guodong Li","raw_affiliation_strings":["Qinghai University,Department of Computer Technology and Applications,Xining,China"],"affiliations":[{"raw_affiliation_string":"Qinghai University,Department of Computer Technology and Applications,Xining,China","institution_ids":["https://openalex.org/I116265982"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021514550","display_name":"Letu Qingge","orcid":"https://orcid.org/0000-0002-9745-9584"},"institutions":[{"id":"https://openalex.org/I35777872","display_name":"North Carolina Agricultural and Technical State University","ror":"https://ror.org/02aze4h65","country_code":"US","type":"education","lineage":["https://openalex.org/I35777872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Letu Qingge","raw_affiliation_strings":["North Carolina A&amp;T State University,Department of Computer Science,Greensboro,NC,USA"],"affiliations":[{"raw_affiliation_string":"North Carolina A&amp;T State University,Department of Computer Science,Greensboro,NC,USA","institution_ids":["https://openalex.org/I35777872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100953163","display_name":"Qingyi Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyi Pan","raw_affiliation_strings":["Tsinghua University,Center for Statistical Science &amp; Department of Industrial Engineering,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Center for Statistical Science &amp; Department of Industrial Engineering,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077769611","display_name":"Pei Yang","orcid":"https://orcid.org/0000-0003-2765-0401"},"institutions":[{"id":"https://openalex.org/I116265982","display_name":"Qinghai University","ror":"https://ror.org/05h33bt13","country_code":"CN","type":"education","lineage":["https://openalex.org/I116265982"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pei Yang","raw_affiliation_strings":["Qinghai University,Department of Computer Technology and Applications,Xining,China"],"affiliations":[{"raw_affiliation_string":"Qinghai University,Department of Computer Technology and Applications,Xining,China","institution_ids":["https://openalex.org/I116265982"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100662852"],"corresponding_institution_ids":["https://openalex.org/I116265982"],"apc_list":null,"apc_paid":null,"fwci":0.5138,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66031084,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9882000088691711,"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":0.9882000088691711,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9686999917030334,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9642000198364258,"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":0.9127651453018188},{"id":"https://openalex.org/keywords/mural","display_name":"Mural","score":0.8929935693740845},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7309762239456177},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6284850835800171},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6207044720649719},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.5470702052116394},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5140165090560913},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49173906445503235},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3651435971260071},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2798653841018677},{"id":"https://openalex.org/keywords/painting","display_name":"Painting","score":0.18286076188087463},{"id":"https://openalex.org/keywords/visual-arts","display_name":"Visual arts","score":0.13609245419502258},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.13214367628097534}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.9127651453018188},{"id":"https://openalex.org/C2777420470","wikidata":"https://www.wikidata.org/wiki/Q219423","display_name":"Mural","level":3,"score":0.8929935693740845},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7309762239456177},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6284850835800171},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6207044720649719},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.5470702052116394},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5140165090560913},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49173906445503235},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3651435971260071},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2798653841018677},{"id":"https://openalex.org/C205783811","wikidata":"https://www.wikidata.org/wiki/Q11629","display_name":"Painting","level":2,"score":0.18286076188087463},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.13609245419502258},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.13214367628097534}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme57554.2024.10687486","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10687486","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2133665775","https://openalex.org/W2475287302","https://openalex.org/W2798365772","https://openalex.org/W2950689937","https://openalex.org/W2962785568","https://openalex.org/W2963073614","https://openalex.org/W2982763192","https://openalex.org/W3035512475","https://openalex.org/W3136958399","https://openalex.org/W3138516171","https://openalex.org/W3144276858","https://openalex.org/W3199003182","https://openalex.org/W4225592316","https://openalex.org/W4287377265","https://openalex.org/W4312497550","https://openalex.org/W4319300595","https://openalex.org/W6696085341","https://openalex.org/W6745560452","https://openalex.org/W6765779288"],"related_works":["https://openalex.org/W2017457812","https://openalex.org/W3178025616","https://openalex.org/W2131831293","https://openalex.org/W2946160871","https://openalex.org/W1995073329","https://openalex.org/W2060947339","https://openalex.org/W425542480","https://openalex.org/W49967185","https://openalex.org/W2107727507","https://openalex.org/W3035059915"],"abstract_inverted_index":{"Mural":[0,93],"restoration":[1,23,29],"holds":[2],"significant":[3,15],"importance":[4],"for":[5],"various":[6],"reasons":[7],"from":[8,43],"cultural,":[9],"historical,":[10],"and":[11,41,50,69,78,94,110],"artistic":[12],"aspects.":[13],"Although":[14],"progress":[16],"has":[17],"been":[18],"made":[19],"in":[20,24,38,107],"natural":[21,44],"image":[22,28],"recent":[25],"years,":[26],"mural":[27,55,63],"remains":[30],"a":[31,59,73],"challenging":[32],"problem":[33],"due":[34],"to":[35],"its":[36],"differences":[37],"structure,":[39],"color,":[40],"style":[42],"images.":[45],"Motivated":[46],"by":[47,83],"the":[48,103],"structural":[49],"color":[51,81,88],"distribution":[52],"characteristics":[53],"of":[54],"images,":[56],"we":[57],"propose":[58],"novel":[60],"two-stage":[61],"edge-guided":[62],"in-painting":[64],"model":[65],"that":[66,98],"perceives":[67],"global":[68],"local":[70],"information":[71],"through":[72],"Transformer-Multi-scale":[74],"CNN":[75],"block":[76],"(TMC)":[77],"learns":[79],"informative":[80],"cues":[82],"introducing":[84],"an":[85],"extra":[86],"YUV":[87],"space.":[89],"Extensive":[90],"experiments":[91],"on":[92],"CelebA-HQ":[95],"datasets":[96],"show":[97],"our":[99],"proposed":[100],"approach":[101],"outperforms":[102],"other":[104],"state-of-the-art":[105],"baselines":[106],"both":[108],"qualitative":[109],"quantitative":[111],"evaluations.":[112]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-14T08:43:22.919905","created_date":"2025-10-10T00:00:00"}
