{"id":"https://openalex.org/W3031391275","doi":"https://doi.org/10.1109/tcyb.2020.2989610","title":"PDE Learning of Filtering and Propagation for Task-Aware Facial Intrinsic Image Analysis","display_name":"PDE Learning of Filtering and Propagation for Task-Aware Facial Intrinsic Image Analysis","publication_year":2020,"publication_date":"2020-05-27","ids":{"openalex":"https://openalex.org/W3031391275","doi":"https://doi.org/10.1109/tcyb.2020.2989610","mag":"3031391275","pmid":"https://pubmed.ncbi.nlm.nih.gov/32459622"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2020.2989610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.2989610","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5067156323","display_name":"Lingyu Liang","orcid":"https://orcid.org/0000-0003-1815-051X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lingyu Liang","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080674767","display_name":"Lianwen Jin","orcid":"https://orcid.org/0000-0002-5456-0957"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianwen Jin","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010277066","display_name":"Yong Xu","orcid":"https://orcid.org/0000-0001-7183-3155"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Xu","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Peng Cheng Laboratory, Shenzhen, China","Communication and Computer Network Laboratory of Guangdong, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"Communication and Computer Network Laboratory of Guangdong, Guangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067156323"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.5888,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.68789376,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"52","issue":"2","first_page":"1021","last_page":"1034"},"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":0.994700014591217,"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":0.994700014591217,"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":0.9919999837875366,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9908999800682068,"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/rendering","display_name":"Rendering (computer graphics)","score":0.7269663214683533},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6751644015312195},{"id":"https://openalex.org/keywords/partial-differential-equation","display_name":"Partial differential equation","score":0.5067659020423889},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.5055699348449707},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4888727068901062},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4260575771331787},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3862851560115814},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36071354150772095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21636271476745605}],"concepts":[{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.7269663214683533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6751644015312195},{"id":"https://openalex.org/C93779851","wikidata":"https://www.wikidata.org/wiki/Q271977","display_name":"Partial differential equation","level":2,"score":0.5067659020423889},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.5055699348449707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4888727068901062},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4260575771331787},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3862851560115814},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36071354150772095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21636271476745605},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003196","descriptor_name":"Computer Graphics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003196","descriptor_name":"Computer Graphics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003196","descriptor_name":"Computer Graphics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2020.2989610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.2989610","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:32459622","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32459622","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":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1376253947","display_name":null,"funder_award_id":"61872151","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1378097553","display_name":null,"funder_award_id":"2016YFB1001405","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G151301256","display_name":null,"funder_award_id":"2017A030312006","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G229920399","display_name":null,"funder_award_id":"61672241","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5356631135","display_name":null,"funder_award_id":"x2js-D2192830","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5526867466","display_name":null,"funder_award_id":"U1611461","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5635944097","display_name":null,"funder_award_id":"2019MS023","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6486564816","display_name":null,"funder_award_id":"2019A1515011045","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G6579067573","display_name":null,"funder_award_id":"2016A030308013","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G6852825479","display_name":null,"funder_award_id":"61936003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8906820628","display_name":null,"funder_award_id":"18ZDA062","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"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":84,"referenced_works":["https://openalex.org/W1479807131","https://openalex.org/W1506342804","https://openalex.org/W1536105345","https://openalex.org/W1630959083","https://openalex.org/W1738124305","https://openalex.org/W1771018557","https://openalex.org/W1876688746","https://openalex.org/W1906770428","https://openalex.org/W1916003155","https://openalex.org/W1964859077","https://openalex.org/W1971375352","https://openalex.org/W1978370894","https://openalex.org/W1982762150","https://openalex.org/W1987871556","https://openalex.org/W1995194116","https://openalex.org/W1996692737","https://openalex.org/W1997542937","https://openalex.org/W1998419211","https://openalex.org/W2001002651","https://openalex.org/W2002193550","https://openalex.org/W2002464721","https://openalex.org/W2002955791","https://openalex.org/W2008072751","https://openalex.org/W2014204036","https://openalex.org/W2022735534","https://openalex.org/W2040053806","https://openalex.org/W2043083428","https://openalex.org/W2055350301","https://openalex.org/W2063718733","https://openalex.org/W2080277992","https://openalex.org/W2082931088","https://openalex.org/W2086809533","https://openalex.org/W2087671401","https://openalex.org/W2097915737","https://openalex.org/W2109880575","https://openalex.org/W2113404166","https://openalex.org/W2116919352","https://openalex.org/W2119288742","https://openalex.org/W2121293528","https://openalex.org/W2123090765","https://openalex.org/W2125874614","https://openalex.org/W2133155955","https://openalex.org/W2140654078","https://openalex.org/W2141957843","https://openalex.org/W2147323005","https://openalex.org/W2150134853","https://openalex.org/W2153518005","https://openalex.org/W2155904486","https://openalex.org/W2159871081","https://openalex.org/W2162082703","https://openalex.org/W2164847484","https://openalex.org/W2165252576","https://openalex.org/W2166576352","https://openalex.org/W2169495281","https://openalex.org/W2199820243","https://openalex.org/W2227411572","https://openalex.org/W2290032933","https://openalex.org/W2326588846","https://openalex.org/W2344995237","https://openalex.org/W2477916117","https://openalex.org/W2511250175","https://openalex.org/W2557102824","https://openalex.org/W2558151185","https://openalex.org/W2575199934","https://openalex.org/W2583983165","https://openalex.org/W2608058963","https://openalex.org/W2690801559","https://openalex.org/W2726971391","https://openalex.org/W2883183894","https://openalex.org/W2963304750","https://openalex.org/W2964030969","https://openalex.org/W3137491246","https://openalex.org/W3137592147","https://openalex.org/W4294836170","https://openalex.org/W4302428745","https://openalex.org/W6601593943","https://openalex.org/W6636599907","https://openalex.org/W6639138679","https://openalex.org/W6676834449","https://openalex.org/W6678450398","https://openalex.org/W6680434193","https://openalex.org/W6682494755","https://openalex.org/W6716912179","https://openalex.org/W6733064734"],"related_works":["https://openalex.org/W2582295320","https://openalex.org/W2174759944","https://openalex.org/W2060809589","https://openalex.org/W3109786615","https://openalex.org/W4210771477","https://openalex.org/W2113492357","https://openalex.org/W2990948995","https://openalex.org/W2081348959","https://openalex.org/W3080983534","https://openalex.org/W2044956415"],"abstract_inverted_index":{"Filtering":[0],"and":[1,10,12,21,29,53,81,91,103,138,186,197,203,208,218],"propagation":[2,30,54,101],"are":[3,14],"two":[4],"basic":[5],"operations":[6,152],"in":[7,18],"image":[8,165,184],"analysis":[9,166,217],"rendering,":[11],"they":[13],"also":[15],"widely":[16],"used":[17],"computer":[19],"graphics":[20],"machine":[22],"learning.":[23],"However,":[24],"the":[25,48,88,96,105,111,116,122,146,154,159,201],"models":[26,55],"of":[27,50,107,162,205],"filtering":[28,52,99],"were":[31],"based":[32,71],"on":[33,72,115,212],"diverse":[34],"mathematical":[35,123],"formulations,":[36],"which":[37],"have":[38],"not":[39],"been":[40],"fully":[41],"understood.":[42],"This":[43],"article":[44],"aims":[45],"to":[46,130,149,157,175],"explore":[47],"properties":[49],"both":[51],"from":[56],"a":[57,66,76],"partial":[58],"differential":[59],"equation":[60],"(PDE)":[61],"learning":[62,69,129,214],"perspective.":[63],"We":[64],"propose":[65],"unified":[67],"PDE":[68,97,118,147,213],"framework":[70,148],"nonlinear":[73],"reaction-diffusion":[74],"with":[75,153],"guided":[77,89],"map,":[78],"graph":[79,108],"Laplacian,":[80],"reaction":[82,92],"weight.":[83],"It":[84],"reveals":[85],"that:":[86],"1)":[87],"map":[90],"weight":[93],"determines":[94],"whether":[95],"produces":[98],"or":[100,194],"diffusion":[102,112,131,151],"2)":[104],"kernel":[106,156],"Laplacian":[109],"controls":[110],"pattern.":[113],"Based":[114],"proposed":[117],"framework,":[119],"we":[120,144],"derive":[121],"relations":[124],"between":[125],"different":[126],"models,":[127],"including":[128],"(LTD)":[132],"model,":[133],"label":[134],"propagation,":[135,137],"edit":[136],"edge-aware":[139],"filter.":[140],"In":[141],"practical":[142],"verification,":[143],"apply":[145],"design":[150],"adaptive":[155],"tackle":[158],"ill-posed":[160],"problem":[161],"facial":[163,178],"intrinsic":[164],"(FIIA).":[167],"A":[168],"flexible":[169],"task-aware":[170,206],"FIIA":[171,207],"system":[172],"is":[173],"built":[174],"achieve":[176],"various":[177],"rendering":[179],"effects,":[180],"such":[181],"as":[182],"face":[183,192],"relighting":[185],"delighting,":[187],"artistic":[188],"illumination":[189],"transfer,":[190],"illumination-aware":[191],"swapping,":[193],"transfiguring.":[195],"Qualitative":[196],"quantitative":[198],"experiments":[199],"show":[200],"effectiveness":[202],"flexibility":[204],"provide":[209],"new":[210],"insights":[211],"for":[215],"visual":[216],"rendering.":[219]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}