{"id":"https://openalex.org/W4401197714","doi":"https://doi.org/10.1142/s0219467825500743","title":"3D Face Reconstruction Based on ResNet Feature Extraction and CBAM","display_name":"3D Face Reconstruction Based on ResNet Feature Extraction and CBAM","publication_year":2024,"publication_date":"2024-07-30","ids":{"openalex":"https://openalex.org/W4401197714","doi":"https://doi.org/10.1142/s0219467825500743"},"language":"en","primary_location":{"id":"doi:10.1142/s0219467825500743","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467825500743","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","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/A5104243636","display_name":"Tianxing Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianxing Yan","raw_affiliation_strings":["School of Electrical Engineering, Xinjiang University, Urumqi, Xinjiang 830017, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Xinjiang University, Urumqi, Xinjiang 830017, P. R. China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072370678","display_name":"Yuhang Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhang Zhao","raw_affiliation_strings":["School of Electrical Engineering, Xinjiang University, Urumqi, Xinjiang 830017, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Xinjiang University, Urumqi, Xinjiang 830017, P. R. China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113403759","display_name":"Zhilong Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhichao Xue","raw_affiliation_strings":["School of Electrical Engineering, Xinjiang University, Urumqi, Xinjiang 830017, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Xinjiang University, Urumqi, Xinjiang 830017, P. R. China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5095708650","display_name":"Yaermaimaiti Yilihamu","orcid":"https://orcid.org/0000-0001-8527-1296"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yaermaimaiti Yilihamu","raw_affiliation_strings":["School of Electrical Engineering, Xinjiang University, Urumqi, Xinjiang 830017, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Xinjiang University, Urumqi, Xinjiang 830017, P. R. China","institution_ids":["https://openalex.org/I96908189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5095708650"],"corresponding_institution_ids":["https://openalex.org/I96908189"],"apc_list":null,"apc_paid":null,"fwci":0.5499,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64720565,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"25","issue":"02","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.8844000101089478,"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/T11448","display_name":"Face recognition and analysis","score":0.8844000101089478,"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/face","display_name":"Face (sociological concept)","score":0.7074814438819885},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6318636536598206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4959941804409027},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4864901900291443},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4637245535850525},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4565046429634094},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.32461851835250854},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.06518909335136414}],"concepts":[{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.7074814438819885},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6318636536598206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4959941804409027},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4864901900291443},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4637245535850525},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4565046429634094},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.32461851835250854},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.06518909335136414},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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":1,"locations":[{"id":"doi:10.1142/s0219467825500743","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467825500743","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5099999904632568}],"awards":[{"id":"https://openalex.org/G2925135692","display_name":null,"funder_award_id":"61866037","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4882902682","display_name":null,"funder_award_id":"61462082","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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1568712909","https://openalex.org/W1834627138","https://openalex.org/W1849277567","https://openalex.org/W1901129140","https://openalex.org/W2017814585","https://openalex.org/W2107037917","https://openalex.org/W2121314241","https://openalex.org/W2160126058","https://openalex.org/W2194775991","https://openalex.org/W2237250383","https://openalex.org/W2795709097","https://openalex.org/W2884585870","https://openalex.org/W2962760512","https://openalex.org/W2962780596","https://openalex.org/W2963342110","https://openalex.org/W2964014798","https://openalex.org/W2964094607","https://openalex.org/W3035523051"],"related_works":["https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W4386159726","https://openalex.org/W2601157893","https://openalex.org/W2131735617","https://openalex.org/W2373006798","https://openalex.org/W2056912418","https://openalex.org/W2132337154","https://openalex.org/W2123759770","https://openalex.org/W2033213769"],"abstract_inverted_index":{"In":[0],"view":[1],"of":[2,9,11,119,166,200,213,226,243],"the":[3,38,45,63,75,92,97,107,111,117,120,123,130,162,181,186,193,201,209,214,218,227,241,244],"scarcity,":[4],"high":[5],"cost":[6],"and":[7,42,73,109,147,158,161,169,185,222,234],"lack":[8],"diversity":[10],"three-dimensional":[12],"(3D)":[13],"face":[14,24,31,40,47,55,60,93,139,156],"datasets,":[15,160],"this":[16],"paper":[17],"designs":[18],"an":[19],"end-to-end":[20],"self-supervised":[21],"learning":[22],"3D":[23,39,54,59],"reconstruction":[25,56,140],"network,":[26],"which":[27],"uses":[28,44],"single":[29],"2D":[30,46],"image":[32,77,194],"as":[33],"input.":[34],"The":[35,174,198],"model":[36,157],"bypasses":[37],"datasets":[41,48],"only":[43],"for":[49,133],"training":[50],"to":[51,71,91],"achieve":[52],"high-precision":[53],"without":[57],"any":[58],"prior.":[61],"First,":[62],"improved":[64,231],"ResNet50":[65],"feature":[66],"extraction":[67],"module":[68,88],"is":[69,89],"introduced":[70],"extract":[72],"characterize":[74],"input":[76],"by":[78,232],"deep":[79],"convolutional":[80,85],"network.":[81],"Then,":[82],"a":[83],"lightweight":[84],"block":[86],"attention":[87,101,115,125],"added":[90],"prediction":[94,142],"subnetwork.":[95],"On":[96],"one":[98],"hand,":[99],"channel":[100],"extracts":[102],"different":[103,134],"information":[104],"included":[105],"in":[106],"image,":[108],"on":[110,152],"other":[112],"hand":[113],"spatial":[114],"finds":[116],"location":[118],"information.":[121],"So,":[122],"serialized":[124],"operation":[126],"could":[127,203],"accurately":[128],"find":[129],"features":[131],"required":[132],"parameter":[135],"predictions,":[136],"further":[137],"improving":[138],"parameters\u2019":[141],"accuracy.":[143],"Finally,":[144],"training,":[145],"ablation":[146],"comparison":[148],"experiments":[149],"were":[150],"conducted":[151],"CelebFaces":[153],"Attributes,":[154],"basel":[155],"Photoface":[159],"combined":[163],"loss":[164,168,171,176,188],"function":[165,177,189],"pixel":[167,175,182],"perception":[170,187],"was":[172,178,190],"selected.":[173],"calculated":[179,191],"at":[180,192],"microscopic":[183],"level,":[184],"macroscopic":[195],"convolution":[196],"level.":[197],"combination":[199],"two":[202],"complement":[204],"each":[205],"other.":[206],"Compared":[207],"with":[208],"historical":[210],"optimal":[211],"results":[212,238],"same":[215],"network":[216],"structure,":[217],"scale-invariant":[219],"depth":[220],"error":[221],"mean":[223],"angle":[224],"deviation":[225],"proposed":[228],"algorithm":[229],"are":[230],"5.2%":[233],"8.2%,":[235],"respectively.":[236],"Experimental":[237],"strongly":[239],"prove":[240],"effectiveness":[242],"algorithm.":[245]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}