{"id":"https://openalex.org/W4384829197","doi":"https://doi.org/10.3390/s23146525","title":"TED-Face: Texture-Enhanced Deep Face Reconstruction in the Wild","display_name":"TED-Face: Texture-Enhanced Deep Face Reconstruction in the Wild","publication_year":2023,"publication_date":"2023-07-19","ids":{"openalex":"https://openalex.org/W4384829197","doi":"https://doi.org/10.3390/s23146525","pmid":"https://pubmed.ncbi.nlm.nih.gov/37514819"},"language":"en","primary_location":{"id":"doi:10.3390/s23146525","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23146525","pdf_url":"https://www.mdpi.com/1424-8220/23/14/6525/pdf?version=1689768337","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/14/6525/pdf?version=1689768337","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074649975","display_name":"Ying Huang","orcid":"https://orcid.org/0000-0002-6239-192X"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ying Huang","raw_affiliation_strings":["Institute of Virtual Reality and Intelligent Systems, Hangzhou Normal University, Hangzhou 311121, China"],"raw_orcid":"https://orcid.org/0000-0002-6239-192X","affiliations":[{"raw_affiliation_string":"Institute of Virtual Reality and Intelligent Systems, Hangzhou Normal University, Hangzhou 311121, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lin Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Fang","raw_affiliation_strings":["Institute of Virtual Reality and Intelligent Systems, Hangzhou Normal University, Hangzhou 311121, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Virtual Reality and Intelligent Systems, Hangzhou Normal University, Hangzhou 311121, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032967589","display_name":"Shanfeng Hu","orcid":"https://orcid.org/0000-0002-0709-8384"},"institutions":[{"id":"https://openalex.org/I32394136","display_name":"Northumbria University","ror":"https://ror.org/049e6bc10","country_code":"GB","type":"education","lineage":["https://openalex.org/I32394136"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Shanfeng Hu","raw_affiliation_strings":["Department of Computer and Information Sciences, Northumbria University, Newcastle-upon-Tyne NE1 8ST, UK"],"raw_orcid":"https://orcid.org/0000-0002-0709-8384","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Northumbria University, Newcastle-upon-Tyne NE1 8ST, UK","institution_ids":["https://openalex.org/I32394136"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5032967589","https://openalex.org/A5074649975"],"corresponding_institution_ids":["https://openalex.org/I163151501","https://openalex.org/I32394136"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.2907,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.49408388,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"23","issue":"14","first_page":"6525","last_page":"6525"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9976999759674072,"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":0.9976999759674072,"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/T11322","display_name":"Facial Rejuvenation and Surgery Techniques","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2708","display_name":"Dermatology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9868999719619751,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8128212690353394},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6959821581840515},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6280118227005005},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6181241869926453},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5820732712745667},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5285058617591858},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5212529301643372},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47786015272140503},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.45894375443458557},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4535539746284485},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.43872204422950745},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43074262142181396},{"id":"https://openalex.org/keywords/high-fidelity","display_name":"High fidelity","score":0.42511826753616333},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4160807430744171},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3304796516895294}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8128212690353394},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6959821581840515},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6280118227005005},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6181241869926453},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5820732712745667},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5285058617591858},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5212529301643372},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47786015272140503},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.45894375443458557},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4535539746284485},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.43872204422950745},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43074262142181396},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.42511826753616333},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4160807430744171},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3304796516895294},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s23146525","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23146525","pdf_url":"https://www.mdpi.com/1424-8220/23/14/6525/pdf?version=1689768337","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:37514819","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37514819","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10385218","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10385218","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10385218/pdf/sensors-23-06525.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:e5ea8fa20de545e8bf7017ed12cf7f60","is_oa":true,"landing_page_url":"https://doaj.org/article/e5ea8fa20de545e8bf7017ed12cf7f60","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 14, p 6525 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/14/6525/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23146525","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 23; Issue 14; Pages: 6525","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23146525","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23146525","pdf_url":"https://www.mdpi.com/1424-8220/23/14/6525/pdf?version=1689768337","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1335324309","display_name":"\u5728\u7ebf\u793e\u4ea4\u7f51\u7edc\u4fe1\u606f\u4f20\u64ad\u673a\u5236\u4e0e\u52a8\u529b\u5b66\u7814\u7a76","funder_award_id":"61673151","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2053888581","display_name":null,"funder_award_id":"19ZDA324","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2988414690","display_name":null,"funder_award_id":"19ZDA324","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3898282462","display_name":null,"funder_award_id":"2020QDL005","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4503195115","display_name":null,"funder_award_id":"2020QDL005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5416213836","display_name":null,"funder_award_id":"61673151","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5593490675","display_name":null,"funder_award_id":"92146001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7365238031","display_name":null,"funder_award_id":"92146001","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4384829197.pdf"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W1834627138","https://openalex.org/W1949778830","https://openalex.org/W2017107803","https://openalex.org/W2046002001","https://openalex.org/W2046119925","https://openalex.org/W2070320140","https://openalex.org/W2070604790","https://openalex.org/W2096733369","https://openalex.org/W2099478163","https://openalex.org/W2105649179","https://openalex.org/W2107037917","https://openalex.org/W2107813907","https://openalex.org/W2117539524","https://openalex.org/W2129150631","https://openalex.org/W2133665775","https://openalex.org/W2157083363","https://openalex.org/W2194775991","https://openalex.org/W2237250383","https://openalex.org/W2301937176","https://openalex.org/W2327987950","https://openalex.org/W2582523095","https://openalex.org/W2771328060","https://openalex.org/W2772024431","https://openalex.org/W2781121766","https://openalex.org/W2796822548","https://openalex.org/W2889050557","https://openalex.org/W2912459656","https://openalex.org/W2919115771","https://openalex.org/W2949662773","https://openalex.org/W2952080583","https://openalex.org/W2962770929","https://openalex.org/W2963342110","https://openalex.org/W2964014798","https://openalex.org/W2964449965","https://openalex.org/W2971022578","https://openalex.org/W2984835412","https://openalex.org/W3033948061","https://openalex.org/W3034371424","https://openalex.org/W3034512702","https://openalex.org/W3034656133","https://openalex.org/W3035413889","https://openalex.org/W3082708265","https://openalex.org/W3098614630","https://openalex.org/W3101531717","https://openalex.org/W3104792420","https://openalex.org/W3127039734","https://openalex.org/W3166229844","https://openalex.org/W3180922390","https://openalex.org/W3183629544","https://openalex.org/W3203322186","https://openalex.org/W4213183289","https://openalex.org/W4214481550","https://openalex.org/W4214720920","https://openalex.org/W4280621934","https://openalex.org/W4294566410","https://openalex.org/W4306748479","https://openalex.org/W4312253380","https://openalex.org/W6654799313","https://openalex.org/W6683218386","https://openalex.org/W6754208138"],"related_works":["https://openalex.org/W4313443006","https://openalex.org/W2945374968","https://openalex.org/W4385452045","https://openalex.org/W4293777179","https://openalex.org/W2164070813","https://openalex.org/W2135608140","https://openalex.org/W2895525995","https://openalex.org/W2319626700","https://openalex.org/W3099598016","https://openalex.org/W4319589573"],"abstract_inverted_index":{",":[0],"a":[1,37,62,84,109,134,172,189,219],"new":[2,153],"method":[3,205,258],"for":[4,164,230,236],"recovering":[5],"high-fidelity":[6],"3D":[7],"facial":[8,105,182,266],"geometry":[9],"and":[10,71,103,123,140,158,194,208,224,233,241],"appearance":[11,267],"with":[12,270],"enhanced":[13],"textures":[14],"from":[15,68,108],"single-view":[16],"images.":[17],"While":[18],"vision-based":[19],"face":[20,64,146],"reconstruction":[21,59,147,168,183],"has":[22],"received":[23],"intensive":[24],"research":[25],"in":[26,87,112,133],"the":[27,115,127,165,179,202,212,234],"past":[28],"decades":[29],"due":[30],"to":[31,46,57,93,97,114,162,261],"its":[32],"broad":[33],"applications,":[34],"it":[35,142],"remains":[36],"challenging":[38],"problem":[39],"because":[40],"human":[41],"eyes":[42],"are":[43,239],"particularly":[44],"sensitive":[45],"numerically":[47],"minute":[48],"yet":[49,74],"perceptually":[50],"significant":[51],"details.":[52],"Previous":[53],"methods":[54],"that":[55,167,256],"seek":[56],"minimize":[58],"errors":[60],"within":[61],"low-dimensional":[63],"space":[65],"can":[66],"suffer":[67],"this":[69],"issue":[70],"generate":[72],"close":[73],"low-fidelity":[75],"approximations.":[76],"The":[77],"loss":[78],"of":[79,129,176,192,198,222,228,251],"high-frequency":[80],"texture":[81,106],"details":[82,268],"is":[83,170,259],"key":[85],"factor":[86],"their":[88],"process,":[89],"which":[90,244],"we":[91,217],"propose":[92],"address":[94],"by":[95,118,206],"learning":[96],"recover":[98,262],"both":[99],"dense":[100],"radiance":[101],"residuals":[102],"sparse":[104],"features":[107],"single":[110,135],"image,":[111],"addition":[113],"variables":[116],"solved":[117],"previous":[119,271],"work-shape,":[120],"appearance,":[121],"illumination,":[122],"camera.":[124],"We":[125,149],"integrate":[126],"estimation":[128],"all":[130],"these":[131],"factors":[132],"unified":[136],"deep":[137],"neural":[138],"network":[139],"train":[141],"on":[143],"several":[144],"popular":[145,180],"datasets.":[148],"also":[150,245],"introduce":[151],"two":[152],"metrics,":[154],"visual":[155],"fidelity":[156],"(VIF)":[157],"structural":[159],"similarity":[160],"(SSIM),":[161],"compensate":[163],"fact":[166],"error":[169],"not":[171],"consistent":[173],"perceptual":[174],"metric":[175],"quality.":[177],"On":[178,211],"FaceWarehouse":[181],"benchmark,":[184],"our":[185,257],"proposed":[186],"system":[187],"achieves":[188],"VIF":[190,220],"score":[191,197,221,227],"0.4802":[193],"an":[195,225,247],"SSIM":[196,226],"0.9622,":[199],"improving":[200],"over":[201,249],"state-of-the-art":[203],"Deep3D":[204],"6.69%":[207],"0.86%,":[209],"respectively.":[210],"widely":[213],"used":[214],"LS3D-300W":[215],"dataset,":[216],"obtain":[218],"0.3922":[223],"0.9079":[229],"indoor":[231],"images,":[232],"scores":[235],"outdoor":[237],"images":[238],"0.4100":[240],"0.9160,":[242],"respectively,":[243],"represent":[246],"improvement":[248],"those":[250],"Deep3D.":[252],"These":[253],"results":[254],"show":[255],"able":[260],"visually":[263],"more":[264],"realistic":[265],"compared":[269],"methods.":[272]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2023-07-21T00:00:00"}