{"id":"https://openalex.org/W4403791779","doi":"https://doi.org/10.1145/3664647.3681611","title":"3D Priors-Guided Diffusion for Blind Face Restoration","display_name":"3D Priors-Guided Diffusion for Blind Face Restoration","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403791779","doi":"https://doi.org/10.1145/3664647.3681611"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3681611","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681611","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-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/A5060496452","display_name":"Xiaobin Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]},{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaobin Lu","raw_affiliation_strings":["School of Cyber Science and Technology, Shenzhen Campus of Sun Yat-sen University & Yunnan Key Laboratory of Smart Education, Yunnan Normal University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Shenzhen Campus of Sun Yat-sen University & Yunnan Key Laboratory of Smart Education, Yunnan Normal University, Shenzhen, China","institution_ids":["https://openalex.org/I120825670","https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101735199","display_name":"Xiaobin Hu","orcid":"https://orcid.org/0000-0002-5764-3096"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobin Hu","raw_affiliation_strings":["Tencent Youtu Lab, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tencent Youtu Lab, Shanghai, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101417921","display_name":"Jun Luo","orcid":"https://orcid.org/0000-0003-4283-5076"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Luo","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101958226","display_name":"Bin Zhu","orcid":"https://orcid.org/0000-0003-2930-6700"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ben Zhu","raw_affiliation_strings":["Tencent Cloud Architecture Platform, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Cloud Architecture Platform, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114416550","display_name":"Yaping Ruan","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaping Ruan","raw_affiliation_strings":["Tencent Cloud Architecture Platform, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Cloud Architecture Platform, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057999649","display_name":"Wenqi Ren","orcid":"https://orcid.org/0000-0001-5481-653X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqi Ren","raw_affiliation_strings":["School of Cyber Science and Technology, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5060496452"],"corresponding_institution_ids":["https://openalex.org/I120825670","https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":1.2464,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.81405646,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1829","last_page":"1838"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9965000152587891,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9965000152587891,"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":0.9850000143051147,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9769999980926514,"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/prior-probability","display_name":"Prior probability","score":0.7407188415527344},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6586514711380005},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6049799919128418},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5216653347015381},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4866079092025757},{"id":"https://openalex.org/keywords/face-masks","display_name":"Face masks","score":0.44995975494384766},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44876739382743835},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.21320244669914246},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09865090250968933},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09344226121902466},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.06467381119728088}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.7407188415527344},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6586514711380005},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6049799919128418},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5216653347015381},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4866079092025757},{"id":"https://openalex.org/C2909791563","wikidata":"https://www.wikidata.org/wiki/Q5428367","display_name":"Face masks","level":5,"score":0.44995975494384766},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44876739382743835},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.21320244669914246},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09865090250968933},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09344226121902466},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.06467381119728088},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"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/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3664647.3681611","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681611","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W2105649179","https://openalex.org/W2133665775","https://openalex.org/W2913668833","https://openalex.org/W2955625300","https://openalex.org/W2962770929","https://openalex.org/W2962785568","https://openalex.org/W2963566548","https://openalex.org/W2964449965","https://openalex.org/W2984757678","https://openalex.org/W3035574324","https://openalex.org/W3036167779","https://openalex.org/W3097167612","https://openalex.org/W3106746951","https://openalex.org/W3131090917","https://openalex.org/W3155072588","https://openalex.org/W3167297682","https://openalex.org/W3174166237","https://openalex.org/W3180391059","https://openalex.org/W3205004111","https://openalex.org/W3210822720","https://openalex.org/W3211515984","https://openalex.org/W3212516020","https://openalex.org/W4225759859","https://openalex.org/W4283373024","https://openalex.org/W4285981784","https://openalex.org/W4287210973","https://openalex.org/W4312400623","https://openalex.org/W4312933868","https://openalex.org/W4312971930","https://openalex.org/W4386114505","https://openalex.org/W4388430459","https://openalex.org/W4390874447","https://openalex.org/W4399995659","https://openalex.org/W4400527348","https://openalex.org/W6779823529","https://openalex.org/W6809940947"],"related_works":["https://openalex.org/W2580650124","https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W3142333283","https://openalex.org/W3122088529","https://openalex.org/W3041320102","https://openalex.org/W2111669074","https://openalex.org/W2085259108","https://openalex.org/W3123087812","https://openalex.org/W2063076820"],"abstract_inverted_index":{"Blind":[0],"face":[1,8,114,226],"restoration":[2,123],"endeavors":[3],"to":[4,91,133,155],"restore":[5],"a":[6,11,37,68,84,105,121,168,176],"clear":[7],"image":[9,101,115],"from":[10],"degraded":[12],"counterpart.":[13],"Recent":[14],"approaches":[15],"employing":[16],"Generative":[17],"Adversarial":[18],"Networks":[19],"(GANs)":[20],"as":[21,78],"priors":[22,77],"have":[23],"demonstrated":[24],"remarkable":[25],"success":[26],"in":[27,35,44,89,194],"this":[28],"field.":[29],"However,":[30],"these":[31],"methods":[32],"encounter":[33],"challenges":[34],"achieving":[36],"balance":[38],"between":[39],"realism":[40,52],"and":[41,59,80,137,179,221],"fidelity,":[42,65],"particularly":[43],"complex":[45],"degradation":[46],"scenarios.":[47],"To":[48],"inherit":[49],"the":[50,56,63,74,98,149,157,163,187,191,195],"exceptional":[51],"generative":[53],"ability":[54],"of":[55,140,159,182,190],"diffusion":[57,86,196],"model":[58],"also":[60],"constrained":[61],"by":[62,72,104,120,204],"identity-aware":[64],"we":[66,166],"propose":[67,167],"novel":[69],"diffusion-based":[70],"framework":[71],"embedding":[73],"3D":[75,95,99,106,141],"facial":[76,100,142],"structure":[79,201],"identity":[81,138,160],"constraints":[82],"into":[83,148,162],"denoising":[85,192],"process.":[87,152],"Specifically,":[88],"order":[90,154],"obtain":[92],"more":[93,177],"accurate":[94],"prior":[96],"representations,":[97],"is":[102,131],"reconstructed":[103],"Morphable":[107],"Model":[108],"(3DMM)":[109],"using":[110],"an":[111],"initial":[112,200],"restored":[113],"that":[116,211],"has":[117],"been":[118],"processed":[119],"pretrained":[122],"network.":[124],"A":[125],"customized":[126],"multi-level":[127],"feature":[128],"extraction":[129],"method":[130],"employed":[132],"exploit":[134],"both":[135],"structural":[136],"information":[139,161],"images,":[143],"which":[144,198],"are":[145],"then":[146],"mapped":[147],"noise":[150,164],"estimation":[151],"In":[153],"enhance":[156],"fusion":[158,181],"estimation,":[165],"Time-Aware":[169],"Fusion":[170],"Block":[171],"(TAFB).":[172],"This":[173],"module":[174],"offers":[175],"efficient":[178],"adaptive":[180],"weights":[183],"for":[184,224],"denoising,":[185],"considering":[186],"dynamic":[188],"nature":[189],"process":[193],"model,":[197],"involves":[199],"refinement":[202],"followed":[203],"texture":[205],"detail":[206],"enhancement.":[207],"Extensive":[208],"experiments":[209],"demonstrate":[210],"our":[212],"network":[213],"performs":[214],"favorably":[215],"against":[216],"state-of-the-art":[217],"algorithms":[218],"on":[219],"synthetic":[220],"real-world":[222],"datasets":[223],"blind":[225],"restoration.":[227]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}