{"id":"https://openalex.org/W4293519349","doi":"https://doi.org/10.1109/icme52920.2022.9859935","title":"A Progressive and Multi-Prior-Guided Network for Image Inpainting","display_name":"A Progressive and Multi-Prior-Guided Network for Image Inpainting","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4293519349","doi":"https://doi.org/10.1109/icme52920.2022.9859935"},"language":"en","primary_location":{"id":"doi:10.1109/icme52920.2022.9859935","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme52920.2022.9859935","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","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":"2022 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/A5067952051","display_name":"Bo Peng","orcid":"https://orcid.org/0000-0003-4183-5939"},"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":"Bo Peng","raw_affiliation_strings":["School of Computer Science, Fudan University,Shanghai Key Laboratory of Data Science,Shanghai","Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University,Shanghai Key Laboratory of Data Science,Shanghai","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062696252","display_name":"Yining Qiu","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":false,"raw_author_name":"Yining Qiu","raw_affiliation_strings":["School of Computer Science, Fudan University,Shanghai Key Laboratory of Data Science,Shanghai","Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University,Shanghai Key Laboratory of Data Science,Shanghai","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101729367","display_name":"Dong Wu","orcid":"https://orcid.org/0000-0002-8018-5548"},"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":"Dong Wu","raw_affiliation_strings":["School of Computer Science, Fudan University,Shanghai Key Laboratory of Data Science,Shanghai","Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University,Shanghai Key Laboratory of Data Science,Shanghai","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001357812","display_name":"Liren He","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":false,"raw_author_name":"Liren He","raw_affiliation_strings":["School of Computer Science, Fudan University,Shanghai Key Laboratory of Data Science,Shanghai","Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University,Shanghai Key Laboratory of Data Science,Shanghai","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057267422","display_name":"Mingmin Chi","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":false,"raw_author_name":"Mingmin Chi","raw_affiliation_strings":["School of Computer Science, Fudan University,Shanghai Key Laboratory of Data Science,Shanghai","Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University,Shanghai Key Laboratory of Data Science,Shanghai","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5067952051"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.06,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.26458007,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"28","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":0.9995999932289124,"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":0.9995999932289124,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9847000241279602,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9835000038146973,"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":0.9812909364700317},{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.7941362261772156},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7911860942840576},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7585011720657349},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5969692468643188},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5784414410591125},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5690965056419373},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5581595301628113},{"id":"https://openalex.org/keywords/texture-synthesis","display_name":"Texture synthesis","score":0.5083362460136414},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4597068428993225},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.4374496340751648},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.41608840227127075},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41127365827560425},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2516031861305237},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08597597479820251}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.9812909364700317},{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.7941362261772156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7911860942840576},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7585011720657349},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5969692468643188},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5784414410591125},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5690965056419373},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5581595301628113},{"id":"https://openalex.org/C50494287","wikidata":"https://www.wikidata.org/wiki/Q658467","display_name":"Texture synthesis","level":5,"score":0.5083362460136414},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4597068428993225},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4374496340751648},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.41608840227127075},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41127365827560425},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2516031861305237},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08597597479820251},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme52920.2022.9859935","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme52920.2022.9859935","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","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":"2022 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G2728175297","display_name":null,"funder_award_id":"62171139","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1993120651","https://openalex.org/W2047643928","https://openalex.org/W2100415658","https://openalex.org/W2131831293","https://openalex.org/W2732026016","https://openalex.org/W2798365772","https://openalex.org/W2890298158","https://openalex.org/W2907097116","https://openalex.org/W2963270367","https://openalex.org/W2963420272","https://openalex.org/W2963653779","https://openalex.org/W2981682056","https://openalex.org/W2990886896","https://openalex.org/W3035512475","https://openalex.org/W3108554146","https://openalex.org/W3144890709","https://openalex.org/W3166762869","https://openalex.org/W3176270734","https://openalex.org/W3203538104","https://openalex.org/W4249724384","https://openalex.org/W4385245566","https://openalex.org/W6639824700","https://openalex.org/W6739901393","https://openalex.org/W6757857098","https://openalex.org/W6781049795"],"related_works":["https://openalex.org/W2385244905","https://openalex.org/W1554980273","https://openalex.org/W2021008485","https://openalex.org/W2352164403","https://openalex.org/W2317681159","https://openalex.org/W2368324430","https://openalex.org/W2771814581","https://openalex.org/W2616924144","https://openalex.org/W2085292936","https://openalex.org/W2030411253"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"techniques":[2],"have":[3],"recently":[4],"made":[5],"considerable":[6],"progress":[7],"in":[8],"image":[9,58],"inpainting":[10,59],"by":[11,61],"introducing":[12],"prior":[13,42],"knowledge,":[14],"e.g.":[15],"texture":[16,30],"and":[17,31,53,112,114,122],"structure.":[18],"However,":[19],"the":[20,41,62,69,76,81,84,91,96,116,137],"existing":[21],"methods":[22],"still":[23],"suffer":[24],"from":[25],"artefacts":[26],"such":[27],"as":[28],"distorted":[29],"abrupt":[32],"colors":[33,82],"due":[34],"to":[35,83,89,118],"insufficient":[36],"consideration":[37],"of":[38,71],"correlation":[39],"between":[40],"visual":[43],"features.":[44],"In":[45,87],"this":[46],"paper,":[47],"we":[48,99],"propose":[49],"a":[50,101,120],"novel":[51],"progressive":[52],"multi-prior-guided":[54],"network":[55,128],"(PMPN)":[56],"for":[57],"inspired":[60],"human":[63],"painting":[64,72],"process,":[65,98],"which":[66],"first":[67],"constructs":[68],"sketch":[70],"art,":[73],"then":[74],"generates":[75],"corresponding":[77],"textures":[78],"finally":[79],"fills":[80],"appropriate":[85],"locations.":[86],"particular,":[88],"model":[90,117],"global":[92],"multi-scale":[93],"contexts":[94],"during":[95],"reconstruction":[97],"design":[100],"bi-directional":[102],"cross-stage":[103],"perception":[104],"module":[105],"that":[106],"captures":[107],"spatial":[108],"information":[109],"across":[110],"branches":[111],"stages":[113],"guides":[115],"synthesize":[119],"natural":[121],"consistent":[123],"texture.":[124],"Our":[125],"proposed":[126],"PMPN":[127],"is":[129],"evaluated":[130],"on":[131],"three":[132],"publicly":[133],"available":[134],"datasets,":[135],"outperforming":[136],"current":[138],"state-of-the-art":[139],"models.":[140]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}