{"id":"https://openalex.org/W4400984953","doi":"https://doi.org/10.1007/s40747-024-01543-8","title":"Rdfinet: reference-guided directional diverse face inpainting network","display_name":"Rdfinet: reference-guided directional diverse face inpainting network","publication_year":2024,"publication_date":"2024-07-25","ids":{"openalex":"https://openalex.org/W4400984953","doi":"https://doi.org/10.1007/s40747-024-01543-8"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-024-01543-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01543-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01543-8.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01543-8.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040781245","display_name":"Qingyang Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I25399270","display_name":"Southwest Forestry University","ror":"https://ror.org/03dfa9f06","country_code":"CN","type":"education","lineage":["https://openalex.org/I25399270"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qingyang Chen","raw_affiliation_strings":["College of Big Data and Intelligent Engineering, Southwest Forestry University, Yunnan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Big Data and Intelligent Engineering, Southwest Forestry University, Yunnan, China","institution_ids":["https://openalex.org/I25399270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114084079","display_name":"Zheng-Ping Qiang","orcid":null},"institutions":[{"id":"https://openalex.org/I25399270","display_name":"Southwest Forestry University","ror":"https://ror.org/03dfa9f06","country_code":"CN","type":"education","lineage":["https://openalex.org/I25399270"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengping Qiang","raw_affiliation_strings":["College of Big Data and Intelligent Engineering, Southwest Forestry University, Yunnan, China"],"raw_orcid":"https://orcid.org/0000-0002-5630-9408","affiliations":[{"raw_affiliation_string":"College of Big Data and Intelligent Engineering, Southwest Forestry University, Yunnan, China","institution_ids":["https://openalex.org/I25399270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062078743","display_name":"Yue Zhao","orcid":"https://orcid.org/0000-0002-4007-7016"},"institutions":[{"id":"https://openalex.org/I25399270","display_name":"Southwest Forestry University","ror":"https://ror.org/03dfa9f06","country_code":"CN","type":"education","lineage":["https://openalex.org/I25399270"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Zhao","raw_affiliation_strings":["College of art and design, Southwest Forestry University, Yunnan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of art and design, Southwest Forestry University, Yunnan, China","institution_ids":["https://openalex.org/I25399270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012932724","display_name":"Hong Lin","orcid":"https://orcid.org/0000-0003-3494-482X"},"institutions":[{"id":"https://openalex.org/I25399270","display_name":"Southwest Forestry University","ror":"https://ror.org/03dfa9f06","country_code":"CN","type":"education","lineage":["https://openalex.org/I25399270"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Lin","raw_affiliation_strings":["College of Big Data and Intelligent Engineering, Southwest Forestry University, Yunnan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Big Data and Intelligent Engineering, Southwest Forestry University, Yunnan, China","institution_ids":["https://openalex.org/I25399270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055227767","display_name":"Libo He","orcid":"https://orcid.org/0000-0002-2235-0154"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Libo He","raw_affiliation_strings":["Information Security College, Yunnan Police College, Yunnan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Security College, Yunnan Police College, Yunnan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001996145","display_name":"Fei Dai","orcid":"https://orcid.org/0000-0001-6469-357X"},"institutions":[{"id":"https://openalex.org/I25399270","display_name":"Southwest Forestry University","ror":"https://ror.org/03dfa9f06","country_code":"CN","type":"education","lineage":["https://openalex.org/I25399270"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Dai","raw_affiliation_strings":["College of Big Data and Intelligent Engineering, Southwest Forestry University, Yunnan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Big Data and Intelligent Engineering, Southwest Forestry University, Yunnan, China","institution_ids":["https://openalex.org/I25399270"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5040781245"],"corresponding_institution_ids":["https://openalex.org/I25399270"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":0.7142,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7036499,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"10","issue":"6","first_page":"7619","last_page":"7630"},"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":0.9994000196456909,"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":0.9994000196456909,"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":0.9961000084877014,"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/T11448","display_name":"Face recognition and analysis","score":0.9890000224113464,"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":0.9348156452178955},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7266078591346741},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7206591963768005},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.7172126770019531},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6645575165748596},{"id":"https://openalex.org/keywords/image-editing","display_name":"Image editing","score":0.5614639520645142},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5213826298713684},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48087504506111145},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4727433919906616},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.45902830362319946},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.4473259150981903}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.9348156452178955},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7266078591346741},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7206591963768005},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.7172126770019531},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6645575165748596},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.5614639520645142},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5213826298713684},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48087504506111145},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4727433919906616},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.45902830362319946},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.4473259150981903},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-024-01543-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01543-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01543-8.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f0110baa6b3c446285791fb219d9dbea","is_oa":true,"landing_page_url":"https://doaj.org/article/f0110baa6b3c446285791fb219d9dbea","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 10, Iss 6, Pp 7619-7630 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-024-01543-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01543-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01543-8.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8054204917","display_name":null,"funder_award_id":"12163004","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":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4400984953.pdf"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W2029411311","https://openalex.org/W2470142083","https://openalex.org/W2603777577","https://openalex.org/W2769905613","https://openalex.org/W2962785568","https://openalex.org/W2963255313","https://openalex.org/W2963270367","https://openalex.org/W2963516811","https://openalex.org/W2963767194","https://openalex.org/W2982763192","https://openalex.org/W2989207674","https://openalex.org/W3011955763","https://openalex.org/W3014712034","https://openalex.org/W3034482833","https://openalex.org/W3034521057","https://openalex.org/W3034600949","https://openalex.org/W3043547428","https://openalex.org/W3102846047","https://openalex.org/W3109174731","https://openalex.org/W3119928376","https://openalex.org/W3136958399","https://openalex.org/W3163427867","https://openalex.org/W3203538104","https://openalex.org/W3213797046","https://openalex.org/W3215628224","https://openalex.org/W4390101428","https://openalex.org/W6630827713"],"related_works":["https://openalex.org/W4226517663","https://openalex.org/W4308234225","https://openalex.org/W2162778274","https://openalex.org/W2999351684","https://openalex.org/W3103893032","https://openalex.org/W4200625923","https://openalex.org/W2132337154","https://openalex.org/W2950862326","https://openalex.org/W4226346550","https://openalex.org/W2797823148"],"abstract_inverted_index":{"Abstract":[0],"The":[1,21,161],"majority":[2],"of":[3,23,83,135,167,207],"existing":[4],"face":[5,101,126,141,168,210,234],"inpainting":[6,236],"methods":[7,47],"primarily":[8],"focus":[9],"on":[10,145,186],"generating":[11],"a":[12,31,67,85,100,124,174],"single":[13],"result":[14],"that":[15],"visually":[16],"resembles":[17],"the":[18,72,110,132,136,140,146,165,187,202,205,208],"original":[19,111],"image.":[20,211],"generation":[22],"diverse":[24,158,197,214,235],"and":[25,119,149,155,221],"plausible":[26],"results":[27,198,215,232],"has":[28,229],"emerged":[29],"as":[30,40,71,88,123],"new":[32],"branch":[33],"in":[34,94,173,233],"image":[35,87,95,148],"restoration,":[36,96],"often":[37],"referred":[38],"to":[39,53,58,117,121],"\u201cPluralistic":[41],"Image":[42],"Completion\u201d.":[43],"However,":[44],"most":[45],"diversity":[46],"simply":[48],"use":[49],"random":[50],"latent":[51],"vectors":[52],"generate":[54],"multiple":[55],"results,":[56],"leading":[57],"uncontrollable":[59],"outcomes.":[60],"To":[61,178],"overcome":[62],"these":[63],"limitations,":[64],"we":[65,97,182],"introduce":[66],"novel":[68],"architecture":[69],"known":[70],"Reference-Guided":[73],"Directional":[74],"Diverse":[75],"Face":[76],"Inpainting":[77],"Network.":[78],"In":[79],"this":[80],"paper,":[81],"instead":[82],"using":[84],"background":[86],"reference,":[89],"which":[90,103,152],"is":[91,241],"typically":[92],"used":[93,99],"have":[98,105],"image,":[102,112],"can":[104],"many":[106],"different":[107,171],"characteristics":[108],"from":[109,170],"including":[113],"but":[114,199],"not":[115,192],"limited":[116],"gender":[118],"age,":[120],"serve":[122],"reference":[125,209],"style.":[127],"Our":[128,190,227],"network":[129,162,228],"firstly":[130],"infers":[131],"semantic":[133],"information":[134],"masked":[137],"face,":[138],"i.e.,":[139],"parsing":[142],"map,":[143],"based":[144],"partial":[147],"its":[150],"mask,":[151],"subsequently":[153],"guides":[154],"constrains":[156],"directional":[157],"generator":[159],"network.":[160],"will":[163,240],"learn":[164],"distribution":[166,220],"images":[169,203],"domains":[172],"low-dimensional":[175],"manifold":[176],"space.":[177],"validate":[179],"our":[180,213],"method,":[181],"conducted":[183],"extensive":[184],"experiments":[185],"CelebAMask-HQ":[188],"dataset.":[189],"method":[191],"only":[193],"produces":[194],"high-quality":[195],"oriented":[196],"also":[200],"complements":[201],"with":[204],"style":[206],"Additionally,":[212],"maintain":[216],"correct":[217],"facial":[218],"feature":[219],"sizes,":[222],"rather":[223],"than":[224],"being":[225],"random.":[226],"achieved":[230],"SOTA":[231],"when":[237],"writing.":[238],"Code":[239],"available":[242],"at":[243],"https://github.com/nothingwithyou/RDFINet":[244],".":[245]},"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"}
