{"id":"https://openalex.org/W4416707020","doi":"https://doi.org/10.1109/tcsvt.2025.3637231","title":"InfoBFR: Real-World Blind Face Restoration via Information Bottleneck","display_name":"InfoBFR: Real-World Blind Face Restoration via Information Bottleneck","publication_year":2025,"publication_date":"2025-11-26","ids":{"openalex":"https://openalex.org/W4416707020","doi":"https://doi.org/10.1109/tcsvt.2025.3637231"},"language":null,"primary_location":{"id":"doi:10.1109/tcsvt.2025.3637231","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3637231","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","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/A5100599858","display_name":"Nan Gao","orcid":"https://orcid.org/0000-0001-9547-1304"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Gao","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Automation, Beijing, China","Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9547-1304","affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054585200","display_name":"Jia Li","orcid":"https://orcid.org/0000-0002-6077-7896"},"institutions":[{"id":"https://openalex.org/I4210156165","display_name":"Lenovo (China)","ror":"https://ror.org/04srd9d93","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210156165"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Li","raw_affiliation_strings":["PCIE, Lenovo Research, Beijing, China","PCIE, Lenovo Research, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PCIE, Lenovo Research, Beijing, China","institution_ids":["https://openalex.org/I4210156165"]},{"raw_affiliation_string":"PCIE, Lenovo Research, China","institution_ids":["https://openalex.org/I4210156165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005195235","display_name":"Huaibo Huang","orcid":"https://orcid.org/0000-0001-5866-2283"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaibo Huang","raw_affiliation_strings":["New Laboratory of Pattern Recognition, CASIA, Beijing, China","New Laboratory of Pattern Recognition, CASIA, China"],"raw_orcid":"https://orcid.org/0000-0001-5866-2283","affiliations":[{"raw_affiliation_string":"New Laboratory of Pattern Recognition, CASIA, Beijing, China","institution_ids":["https://openalex.org/I4210112150"]},{"raw_affiliation_string":"New Laboratory of Pattern Recognition, CASIA, China","institution_ids":["https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100410706","display_name":"Zhi Zeng","orcid":"https://orcid.org/0000-0003-2150-2088"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Zeng","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China","Beijing University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0003-2150-2088","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112749024","display_name":"Ran He","orcid":"https://orcid.org/0000-0002-3807-991X"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran He","raw_affiliation_strings":["New Laboratory of Pattern Recognition, CASIA, Beijing, China","New Laboratory of Pattern Recognition, CASIA, China"],"raw_orcid":"https://orcid.org/0000-0002-3807-991X","affiliations":[{"raw_affiliation_string":"New Laboratory of Pattern Recognition, CASIA, Beijing, China","institution_ids":["https://openalex.org/I4210112150"]},{"raw_affiliation_string":"New Laboratory of Pattern Recognition, CASIA, China","institution_ids":["https://openalex.org/I4210112150"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7746,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.77294394,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"36","issue":"4","first_page":"4579","last_page":"4593"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12301","display_name":"Facial Nerve Paralysis Treatment and Research","score":0.6503999829292297,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12301","display_name":"Facial Nerve Paralysis Treatment and Research","score":0.6503999829292297,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/T11448","display_name":"Face recognition and analysis","score":0.1316000074148178,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.11620000004768372,"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/information-bottleneck-method","display_name":"Information bottleneck method","score":0.7684000134468079},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.7353000044822693},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5993000268936157},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.53329998254776},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.41999998688697815},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.41990000009536743},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4187000095844269},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.3517000079154968}],"concepts":[{"id":"https://openalex.org/C60008888","wikidata":"https://www.wikidata.org/wiki/Q6031013","display_name":"Information bottleneck method","level":3,"score":0.7684000134468079},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7353000044822693},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7264999747276306},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6466000080108643},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5993000268936157},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.53329998254776},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.41999998688697815},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.41990000009536743},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4187000095844269},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.3517000079154968},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.34529998898506165},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.3452000021934509},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.34119999408721924},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.3018999993801117},{"id":"https://openalex.org/C3020402766","wikidata":"https://www.wikidata.org/wiki/Q104376712","display_name":"Prior information","level":2,"score":0.2793000042438507},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.2759999930858612},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.2757999897003174},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.27570000290870667},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.26969999074935913}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2025.3637231","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3637231","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4881659587","display_name":null,"funder_award_id":"2025KF1A0030","funder_id":"https://openalex.org/F4320318558","funder_display_name":"Peng Cheng Laboratory"}],"funders":[{"id":"https://openalex.org/F4320318558","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Previous":[0],"blind":[1],"face":[2],"restoration":[3],"(BFR)":[4],"methods":[5],"have":[6],"primarily":[7],"leveraged":[8],"facial":[9],"priors":[10],"from":[11,22,61,82],"pretrained":[12,83],"GAN":[13],"or":[14],"diffusion":[15,104],"models.":[16],"These":[17],"neural":[18,24,59,176],"BFR":[19,67,84,137,143,169],"models":[20,170],"suffer":[21],"diverse":[23,70,168],"degradations,":[25],"such":[26],"as":[27,139],"prior":[28],"bias,":[29],"topological":[30],"distortion,":[31,33],"textural":[32],"and":[34,72,97,117,135,149],"artifact":[35],"residues,":[36],"which":[37,65],"limit":[38],"their":[39],"real-world":[40,44],"generalization":[41],"in":[42,69,145],"complex":[43],"scenarios.":[45],"In":[46],"this":[47],"paper,":[48],"we":[49],"propose":[50],"an":[51,62],"effective":[52],"framework,":[53],"<italic":[54],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[55],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">InfoBFR</i>,":[56],"to":[57,106,171],"address":[58],"degradation":[60],"information-theoretic":[63],"perspective,":[64],"achieves":[66],"boosting":[68,126],"wild":[71],"heterogeneous":[73],"scenes.":[74],"Specifically,":[75],"on":[76],"the":[77,80,124,160,173],"basis":[78],"of":[79,128,175],"results":[81,122],"models,":[85],"InfoBFR":[86,110,129,158],"considers":[87],"information":[88,94,99,108],"compression":[89],"by":[90,167],"using":[91],"a":[92],"manifold":[93,98],"bottleneck":[95],"(MIB)":[96],"compensation":[100],"(MIC)":[101],"with":[102,115],"efficient":[103],"LoRA":[105],"conduct":[107],"optimization.":[109],"effectively":[111],"synthesizes":[112],"high-fidelity":[113],"faces":[114],"texture":[116],"structure":[118],"boosting.":[119],"Comprehensive":[120],"experimental":[121],"demonstrate":[123],"high":[125],"performance":[127],"(nearly":[130],"82%)":[131],"for":[132],"state-of-the-art":[133],"GAN-based":[134],"diffusion-based":[136],"methods,":[138],"it":[140],"can":[141],"complete":[142],"tasks":[144],"approximately":[146],"70":[147],"ms":[148],"has":[150],"4M":[151],"trainable":[152],"parameters.":[153],"It":[154],"is":[155,159],"promising":[156],"that":[157],"first":[161],"unified":[162],"postprocessing":[163],"restorer":[164],"universally":[165],"employed":[166],"overcome":[172],"limitations":[174],"degradation.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-11-27T00:00:00"}