{"id":"https://openalex.org/W4391614921","doi":"https://doi.org/10.1007/s00371-023-03255-5","title":"Image inpainting based on fusion structure information and pixelwise attention","display_name":"Image inpainting based on fusion structure information and pixelwise attention","publication_year":2024,"publication_date":"2024-02-07","ids":{"openalex":"https://openalex.org/W4391614921","doi":"https://doi.org/10.1007/s00371-023-03255-5"},"language":"en","primary_location":{"id":"doi:10.1007/s00371-023-03255-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00371-023-03255-5","pdf_url":null,"source":{"id":"https://openalex.org/S73060445","display_name":"The Visual Computer","issn_l":"0178-2789","issn":["0178-2789","1432-2315"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Visual Computer","raw_type":"journal-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/A5061911091","display_name":"Dan Wu","orcid":"https://orcid.org/0000-0002-3856-1087"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dan Wu","raw_affiliation_strings":["School of Electrical Engineering and Information, Southwest Petroleum University, Chengdu, 610500, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Information, Southwest Petroleum University, Chengdu, 610500, China","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013550906","display_name":"Jixiang Cheng","orcid":"https://orcid.org/0000-0002-1859-9096"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jixiang Cheng","raw_affiliation_strings":["School of Electrical Engineering and Information, Southwest Petroleum University, Chengdu, 610500, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Information, Southwest Petroleum University, Chengdu, 610500, China","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101398091","display_name":"Zhidan Li","orcid":"https://orcid.org/0000-0003-3282-4576"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhidan Li","raw_affiliation_strings":["School of Electrical Engineering and Information, Southwest Petroleum University, Chengdu, 610500, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Information, Southwest Petroleum University, Chengdu, 610500, China","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100613563","display_name":"Zhou Chen","orcid":"https://orcid.org/0000-0003-3271-2515"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhou Chen","raw_affiliation_strings":["School of Electrical Engineering and Information, Southwest Petroleum University, Chengdu, 610500, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Information, Southwest Petroleum University, Chengdu, 610500, China","institution_ids":["https://openalex.org/I165745306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5061911091"],"corresponding_institution_ids":["https://openalex.org/I165745306"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.7708,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69463963,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"40","issue":"12","first_page":"8573","last_page":"8589"},"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":0.9993000030517578,"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":0.9993000030517578,"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":0.998199999332428,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9846000075340271,"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":0.9728858470916748},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7752806544303894},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6740736961364746},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6300131678581238},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6231762170791626},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.6028461456298828},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5959399938583374},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5841602087020874},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4956425428390503},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4630100727081299},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.4427233338356018},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.415052592754364}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.9728858470916748},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7752806544303894},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6740736961364746},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6300131678581238},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6231762170791626},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6028461456298828},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5959399938583374},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5841602087020874},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4956425428390503},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4630100727081299},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.4427233338356018},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.415052592754364},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00371-023-03255-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00371-023-03255-5","pdf_url":null,"source":{"id":"https://openalex.org/S73060445","display_name":"The Visual Computer","issn_l":"0178-2789","issn":["0178-2789","1432-2315"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Visual Computer","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1834627138","https://openalex.org/W1971958581","https://openalex.org/W1998680950","https://openalex.org/W2029411311","https://openalex.org/W2055132753","https://openalex.org/W2081351607","https://openalex.org/W2125873654","https://openalex.org/W2145023731","https://openalex.org/W2165736859","https://openalex.org/W2556783285","https://openalex.org/W2732026016","https://openalex.org/W2738588019","https://openalex.org/W2752782242","https://openalex.org/W2798365772","https://openalex.org/W2962679566","https://openalex.org/W2962785568","https://openalex.org/W2963231084","https://openalex.org/W2963420272","https://openalex.org/W2964148878","https://openalex.org/W2982763192","https://openalex.org/W2985764327","https://openalex.org/W2987614525","https://openalex.org/W2989207674","https://openalex.org/W2990886896","https://openalex.org/W2998075999","https://openalex.org/W3011708679","https://openalex.org/W3024180722","https://openalex.org/W3035512475","https://openalex.org/W3037722027","https://openalex.org/W3043547428","https://openalex.org/W3046109728","https://openalex.org/W3096831136","https://openalex.org/W3105389099","https://openalex.org/W3106817660","https://openalex.org/W3108554146","https://openalex.org/W3109174731","https://openalex.org/W3113804449","https://openalex.org/W3118356434","https://openalex.org/W3119817202","https://openalex.org/W3120851889","https://openalex.org/W3121986773","https://openalex.org/W3127822950","https://openalex.org/W3146570367","https://openalex.org/W3160566556","https://openalex.org/W3168686693","https://openalex.org/W3171933509","https://openalex.org/W3203538104","https://openalex.org/W3206082266","https://openalex.org/W4226300688","https://openalex.org/W4281676132","https://openalex.org/W4293215332","https://openalex.org/W4295012191","https://openalex.org/W4312238440","https://openalex.org/W4312383858","https://openalex.org/W4313038969","https://openalex.org/W4313154016","https://openalex.org/W4319300595","https://openalex.org/W4320485133","https://openalex.org/W4385783616","https://openalex.org/W4386065773","https://openalex.org/W6600223405","https://openalex.org/W6636700617"],"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":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
