{"id":"https://openalex.org/W3200477351","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534475","title":"Bi-encoder Network with Structure-texture Consistency for Image Inpainting","display_name":"Bi-encoder Network with Structure-texture Consistency for Image Inpainting","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3200477351","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534475","mag":"3200477351"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9534475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5034643682","display_name":"Chujun Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chujun Qin","raw_affiliation_strings":["Communication and Information Security Laboratory, Shenzhen Graduate School, Peking University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communication and Information Security Laboratory, Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102300349","display_name":"Zhilin Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhilin Huang","raw_affiliation_strings":["Communication and Information Security Laboratory, Shenzhen Graduate School, Peking University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communication and Information Security Laboratory, Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101769299","display_name":"Ruixin Liu","orcid":"https://orcid.org/0000-0002-9911-9233"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruixin Liu","raw_affiliation_strings":["Communication and Information Security Laboratory, Shenzhen Graduate School, Peking University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communication and Information Security Laboratory, Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067922510","display_name":"Zhenyu Weng","orcid":"https://orcid.org/0000-0001-7857-8687"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Weng","raw_affiliation_strings":["Communication and Information Security Laboratory, Shenzhen Graduate School, Peking University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communication and Information Security Laboratory, Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056706680","display_name":"Yuesheng Zhu","orcid":"https://orcid.org/0000-0003-2524-6800"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuesheng Zhu","raw_affiliation_strings":["Communication and Information Security Laboratory, Shenzhen Graduate School, Peking University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communication and Information Security Laboratory, Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9976000189781189,"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":0.9855999946594238,"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":0.7987271547317505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.76413893699646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.696233868598938},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6435955762863159},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.640556812286377},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5899567604064941},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5724239945411682},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5576949715614319},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.5356798768043518},{"id":"https://openalex.org/keywords/texture-synthesis","display_name":"Texture synthesis","score":0.5335935354232788},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4991183280944824},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4734765291213989},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43136078119277954},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.26668691635131836},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.05827215313911438}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.7987271547317505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.76413893699646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.696233868598938},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6435955762863159},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.640556812286377},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5899567604064941},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5724239945411682},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5576949715614319},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.5356798768043518},{"id":"https://openalex.org/C50494287","wikidata":"https://www.wikidata.org/wiki/Q658467","display_name":"Texture synthesis","level":5,"score":0.5335935354232788},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4991183280944824},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4734765291213989},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43136078119277954},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.26668691635131836},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05827215313911438},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"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/ijcnn52387.2021.9534475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320327511","display_name":"Development and Reform Commission of Shenzhen Municipality","ror":"https://ror.org/03jmg4515"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1834627138","https://openalex.org/W1975049209","https://openalex.org/W1993120651","https://openalex.org/W1999360130","https://openalex.org/W2016331656","https://openalex.org/W2057016804","https://openalex.org/W2078718577","https://openalex.org/W2093212899","https://openalex.org/W2100415658","https://openalex.org/W2117539524","https://openalex.org/W2133665775","https://openalex.org/W2171011251","https://openalex.org/W2174817186","https://openalex.org/W2194775991","https://openalex.org/W2295936755","https://openalex.org/W2331128040","https://openalex.org/W2415655786","https://openalex.org/W2535388113","https://openalex.org/W2557414982","https://openalex.org/W2738588019","https://openalex.org/W2796286534","https://openalex.org/W2798365772","https://openalex.org/W2810518847","https://openalex.org/W2962835968","https://openalex.org/W2962974533","https://openalex.org/W2963231084","https://openalex.org/W2963270367","https://openalex.org/W2963420272","https://openalex.org/W2963840672","https://openalex.org/W2964121592","https://openalex.org/W2964121744","https://openalex.org/W2964148878","https://openalex.org/W2981682056","https://openalex.org/W2985764327","https://openalex.org/W2991377405","https://openalex.org/W2997669187","https://openalex.org/W3001217199","https://openalex.org/W3043547428","https://openalex.org/W3096831136","https://openalex.org/W3108554146","https://openalex.org/W4240726888","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6696085341","https://openalex.org/W6716561791","https://openalex.org/W6729060410","https://openalex.org/W6770916600"],"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/W2771814581","https://openalex.org/W2368324430","https://openalex.org/W2616924144","https://openalex.org/W2355113740","https://openalex.org/W2030411253"],"abstract_inverted_index":{"Existing":[0],"image":[1],"inpainting":[2],"methods":[3,17],"have":[4],"shown":[5],"their":[6],"potential":[7],"in":[8,37,160],"filling":[9],"corrupted":[10],"regions":[11],"with":[12,22,117,140],"plausible":[13,165],"contents.":[14],"However,":[15],"these":[16,42],"tend":[18],"to":[19,60,70,81,100,137],"produce":[20],"results":[21,166],"distorted":[23],"structures":[24,34,142],"or":[25],"unnatural":[26],"textures":[27,36],"since":[28],"they":[29],"neglect":[30],"the":[31,88,108,113,118,122,126,135,155],"difference":[32],"between":[33],"and":[35,39,63,67,84,103,125,143,151,163,167],"images":[38,90,110,139],"jointly":[40],"process":[41],"two":[43,78],"different":[44],"types":[45],"of":[46,87,107,134],"information.":[47],"To":[48],"solve":[49],"this":[50],"problem,":[51],"we":[52],"propose":[53],"a":[54,93],"bi-encoder":[55],"network":[56],"(BE-Net)":[57],"that":[58],"seeks":[59],"handle":[61],"structure":[62,83,119,123],"texture":[64,85,114,127],"information":[65],"separately,":[66],"fuse":[68],"them":[69],"reconstruct":[71],"completed":[72],"images.":[73],"Specifically,":[74],"BE-Net":[75],"first":[76],"uses":[77],"parallel":[79],"encoders":[80],"infer":[82],"features":[86,115,124,128],"input":[89],"respectively.":[91],"Then":[92],"structure-texture":[94],"consistency":[95],"module":[96],"(STCM)":[97],"is":[98,158],"designed":[99],"weaken":[101],"artifacts":[102],"enhance":[104],"visual":[105],"coherency":[106],"output":[109],"by":[111],"keeping":[112],"consistent":[116],"features.":[120],"Finally,":[121],"are":[129],"fused":[130],"at":[131],"each":[132],"level":[133],"decoder":[136],"recover":[138],"reasonable":[141],"realistic":[144,162],"textures.":[145],"Extensive":[146],"experiments":[147],"on":[148],"Paris":[149],"StreetView":[150],"CelebA":[152],"datasets":[153],"show":[154],"proposed":[156],"approach":[157],"effective":[159],"generating":[161],"visually":[164],"outperforms":[168],"several":[169],"state-of-the-art":[170],"methods.":[171]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
