{"id":"https://openalex.org/W3194731230","doi":"https://doi.org/10.1109/icip42928.2021.9506434","title":"GI-AEE: GAN Inversion Based Attentive Expression Embedding Network For Facial Expression Editing","display_name":"GI-AEE: GAN Inversion Based Attentive Expression Embedding Network For Facial Expression Editing","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3194731230","doi":"https://doi.org/10.1109/icip42928.2021.9506434","mag":"3194731230"},"language":"en","primary_location":{"id":"doi:10.1109/icip42928.2021.9506434","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506434","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5108046740","display_name":"Yun Zhang","orcid":"https://orcid.org/0000-0001-9457-7801"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Zhang","raw_affiliation_strings":["Peking University,Communication and Information Security Lab, Shenzhen Graduate School","Communication and Information Security Lab, Shenzhen Graduate School, Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,Communication and Information Security Lab, Shenzhen Graduate School","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Communication and Information Security Lab, Shenzhen Graduate School, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101769299","display_name":"Ruixin Liu","orcid":"https://orcid.org/0000-0002-9911-9233"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruixin Liu","raw_affiliation_strings":["Peking University,Communication and Information Security Lab, Shenzhen Graduate School","Communication and Information Security Lab, Shenzhen Graduate School, Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,Communication and Information Security Lab, Shenzhen Graduate School","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Communication and Information Security Lab, Shenzhen Graduate School, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000079255","display_name":"Yifan Pan","orcid":"https://orcid.org/0000-0002-9681-242X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Pan","raw_affiliation_strings":["Peking University,Communication and Information Security Lab, Shenzhen Graduate School","Communication and Information Security Lab, Shenzhen Graduate School, Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,Communication and Information Security Lab, Shenzhen Graduate School","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Communication and Information Security Lab, Shenzhen Graduate School, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101517482","display_name":"Dehao Wu","orcid":"https://orcid.org/0000-0002-1176-0094"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dehao Wu","raw_affiliation_strings":["Peking University,Communication and Information Security Lab, Shenzhen Graduate School","Communication and Information Security Lab, Shenzhen Graduate School, Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,Communication and Information Security Lab, Shenzhen Graduate School","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Communication and Information Security Lab, Shenzhen Graduate School, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056706680","display_name":"Yuesheng Zhu","orcid":"https://orcid.org/0000-0003-2524-6800"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuesheng Zhu","raw_affiliation_strings":["Peking University,Communication and Information Security Lab, Shenzhen Graduate School","Communication and Information Security Lab, Shenzhen Graduate School, Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,Communication and Information Security Lab, Shenzhen Graduate School","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Communication and Information Security Lab, Shenzhen Graduate School, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102382946","display_name":"Zhiqiang Bai","orcid":"https://orcid.org/0000-0001-9793-3752"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Bai","raw_affiliation_strings":["Peking University,Communication and Information Security Lab, Shenzhen Graduate School","Communication and Information Security Lab, Shenzhen Graduate School, Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,Communication and Information Security Lab, Shenzhen Graduate School","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Communication and Information Security Lab, Shenzhen Graduate School, Peking University","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":null,"first_page":"2453","last_page":"2457"},"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":0.9993000030517578,"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":0.9993000030517578,"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/T11448","display_name":"Face recognition and analysis","score":0.9966999888420105,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.984000027179718,"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/expression","display_name":"Expression (computer science)","score":0.8212746381759644},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.7792593240737915},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7520922422409058},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7336432933807373},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6302765607833862},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.5052745938301086},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48455682396888733},{"id":"https://openalex.org/keywords/image-editing","display_name":"Image editing","score":0.4369807541370392},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43035799264907837},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4230424761772156},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32795602083206177},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.06257978081703186}],"concepts":[{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.8212746381759644},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.7792593240737915},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7520922422409058},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7336432933807373},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6302765607833862},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.5052745938301086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48455682396888733},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.4369807541370392},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43035799264907837},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4230424761772156},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32795602083206177},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.06257978081703186},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip42928.2021.9506434","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506434","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2552611751","https://openalex.org/W2807126412","https://openalex.org/W2952716587","https://openalex.org/W2962770929","https://openalex.org/W2962785568","https://openalex.org/W2962793481","https://openalex.org/W2963105487","https://openalex.org/W2963226019","https://openalex.org/W2963373786","https://openalex.org/W2963767194","https://openalex.org/W2969222682","https://openalex.org/W2981818065","https://openalex.org/W2985068832","https://openalex.org/W3035355202","https://openalex.org/W3035574324","https://openalex.org/W3108525755","https://openalex.org/W3176913662","https://openalex.org/W4294643831","https://openalex.org/W4320013936","https://openalex.org/W6631190155","https://openalex.org/W6718140377","https://openalex.org/W6718379498","https://openalex.org/W6729939709","https://openalex.org/W6745560452","https://openalex.org/W6755312952","https://openalex.org/W6767471576","https://openalex.org/W6779669310","https://openalex.org/W6786299049"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W4311681673","https://openalex.org/W3217114251","https://openalex.org/W4390516098","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W4296973694","https://openalex.org/W2183306018","https://openalex.org/W2549990292","https://openalex.org/W2345479200"],"abstract_inverted_index":{"Facial":[0],"expression":[1,7,21,47,78,103,115,130,150],"editing":[2,104,151],"aims":[3],"to":[4,23,33,42,87,127],"modify":[5],"facial":[6,77,134],"by":[8],"specific":[9],"conditions.":[10],"Existing":[11],"methods":[12,30,110],"adopt":[13],"an":[14,122],"encoder-decoder":[15],"architecture":[16],"under":[17],"the":[18,25,52,58,89,93,97,114,118,148],"guidance":[19],"of":[20,54,92],"condition":[22,116],"process":[24],"desired":[26],"expression.":[27],"However,":[28],"these":[29,63],"always":[31],"tend":[32],"produce":[34],"artifacts":[35],"and":[36,50,100,141],"blurs":[37],"in":[38,46],"expression-intensive":[39],"regions":[40,49],"due":[41],"simultaneously":[43],"modifying":[44],"images":[45],"changed":[48],"ensuring":[51],"consistency":[53],"other":[55],"attributes":[56],"with":[57],"source":[59,94],"image.":[60],"To":[61],"address":[62],"issues,":[64],"we":[65,120],"propose":[66,121],"a":[67],"GAN":[68,85],"inversion":[69,86],"based":[70],"Attentive":[71,123],"Expression":[72,124],"Embedding":[73,125],"Network":[74],"(GI-AEE)":[75],"for":[76],"editing,":[79],"which":[80],"decouples":[81],"this":[82],"task":[83],"utilizing":[84],"alleviate":[88],"strong":[90],"effect":[91],"image":[95,99],"on":[96],"target":[98],"produces":[101],"high-quality":[102],"results.":[105,139],"Furthermore,":[106],"different":[107,133],"from":[108],"existing":[109],"that":[111],"directly":[112],"embed":[113,128],"into":[117,132],"network,":[119],"module":[126],"corresponding":[129],"vectors":[131],"regions,":[135],"producing":[136],"more":[137],"plausible":[138],"Qualitative":[140],"quantitative":[142],"experiments":[143],"demonstrate":[144],"our":[145],"method":[146],"outperforms":[147],"state-of-the-art":[149],"methods.":[152]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}