{"id":"https://openalex.org/W4214889152","doi":"https://doi.org/10.1109/tmm.2022.3155903","title":"Lifelong Age Transformation With a Deep Generative Prior","display_name":"Lifelong Age Transformation With a Deep Generative Prior","publication_year":2022,"publication_date":"2022-03-03","ids":{"openalex":"https://openalex.org/W4214889152","doi":"https://doi.org/10.1109/tmm.2022.3155903"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2022.3155903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2022.3155903","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5033865377","display_name":"Xianxu Hou","orcid":"https://orcid.org/0000-0002-8728-2842"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianxu Hou","raw_affiliation_strings":["Computer Vision Institute, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-8728-2842","affiliations":[{"raw_affiliation_string":"Computer Vision Institute, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100412326","display_name":"Xiaokang Zhang","orcid":"https://orcid.org/0000-0003-4130-3078"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaokang Zhang","raw_affiliation_strings":["Computer Vision Institute, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-4130-3078","affiliations":[{"raw_affiliation_string":"Computer Vision Institute, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038283983","display_name":"Hanbang Liang","orcid":"https://orcid.org/0000-0003-0408-1250"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanbang Liang","raw_affiliation_strings":["Computer Vision Institute, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-0408-1250","affiliations":[{"raw_affiliation_string":"Computer Vision Institute, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019313200","display_name":"Linlin Shen","orcid":"https://orcid.org/0000-0003-1420-0815"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linlin Shen","raw_affiliation_strings":["Computer Vision Institute, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1420-0815","affiliations":[{"raw_affiliation_string":"Computer Vision Institute, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100633973","display_name":"Zhong Ming","orcid":"https://orcid.org/0000-0001-9310-3460"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Ming","raw_affiliation_strings":["National Engineering Laboratory for Big Data System Computing Technology, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-9310-3460","affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Big Data System Computing Technology, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":0.8809,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.73159005,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"25","issue":null,"first_page":"3125","last_page":"3139"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9976000189781189,"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":0.9876999855041504,"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/computer-science","display_name":"Computer science","score":0.7985190153121948},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.6214253902435303},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5662553310394287},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5314409136772156},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34159988164901733}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7985190153121948},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.6214253902435303},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5662553310394287},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5314409136772156},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34159988164901733},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2022.3155903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2022.3155903","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5185027099","display_name":null,"funder_award_id":"2020A1515111199","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G7097245526","display_name":"\u7c7b\u4eba\u4efb\u52a1\u89c4\u5212\u3001\u63a8\u7406\u53ca\u5176\u9a8c\u8bc1\u7cfb\u7edf\u7684\u7814\u7a76\u548c\u5e94\u7528","funder_award_id":"61836005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7207572663","display_name":"\u79fb\u52a8\u652f\u4ed8\u5b89\u5168\u7406\u8bba\u6a21\u578b\u53ca\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61672358","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8985577795","display_name":null,"funder_award_id":"91959108","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/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":90,"referenced_works":["https://openalex.org/W1772300941","https://openalex.org/W1978370894","https://openalex.org/W2014102203","https://openalex.org/W2039140324","https://openalex.org/W2085481337","https://openalex.org/W2096733369","https://openalex.org/W2105026179","https://openalex.org/W2123497994","https://openalex.org/W2125389028","https://openalex.org/W2136074653","https://openalex.org/W2152679347","https://openalex.org/W2413901322","https://openalex.org/W2528578439","https://openalex.org/W2541527415","https://openalex.org/W2587706859","https://openalex.org/W2592232824","https://openalex.org/W2593414223","https://openalex.org/W2604117447","https://openalex.org/W2725329413","https://openalex.org/W2739748921","https://openalex.org/W2785678896","https://openalex.org/W2798706078","https://openalex.org/W2804078698","https://openalex.org/W2891158090","https://openalex.org/W2920684403","https://openalex.org/W2939645724","https://openalex.org/W2951523806","https://openalex.org/W2952716587","https://openalex.org/W2962770929","https://openalex.org/W2962793481","https://openalex.org/W2963008638","https://openalex.org/W2963073614","https://openalex.org/W2963373786","https://openalex.org/W2963391470","https://openalex.org/W2963470893","https://openalex.org/W2963626105","https://openalex.org/W2963684088","https://openalex.org/W2963767194","https://openalex.org/W2963890275","https://openalex.org/W2963917315","https://openalex.org/W2964167449","https://openalex.org/W2964261768","https://openalex.org/W2969985801","https://openalex.org/W2982763192","https://openalex.org/W2985068832","https://openalex.org/W2987285147","https://openalex.org/W2989855043","https://openalex.org/W2991591391","https://openalex.org/W2996870993","https://openalex.org/W3003162010","https://openalex.org/W3008814843","https://openalex.org/W3014852036","https://openalex.org/W3014859719","https://openalex.org/W3034431451","https://openalex.org/W3034600949","https://openalex.org/W3034720584","https://openalex.org/W3035231706","https://openalex.org/W3035574324","https://openalex.org/W3047371217","https://openalex.org/W3102061158","https://openalex.org/W3108663077","https://openalex.org/W3119557339","https://openalex.org/W3131818205","https://openalex.org/W3138753100","https://openalex.org/W3163883640","https://openalex.org/W3173241699","https://openalex.org/W3177221875","https://openalex.org/W3178406257","https://openalex.org/W3181462058","https://openalex.org/W3209830847","https://openalex.org/W4287817254","https://openalex.org/W4294643831","https://openalex.org/W4295521014","https://openalex.org/W4301206121","https://openalex.org/W4320013936","https://openalex.org/W6621378261","https://openalex.org/W6672034486","https://openalex.org/W6678815747","https://openalex.org/W6685352114","https://openalex.org/W6687506355","https://openalex.org/W6718379498","https://openalex.org/W6735913928","https://openalex.org/W6741832134","https://openalex.org/W6745560452","https://openalex.org/W6748582592","https://openalex.org/W6752378368","https://openalex.org/W6755312952","https://openalex.org/W6765779288","https://openalex.org/W6773754115","https://openalex.org/W6779093361"],"related_works":["https://openalex.org/W2789919619","https://openalex.org/W2365767001","https://openalex.org/W2293457016","https://openalex.org/W3156291593","https://openalex.org/W1551406738","https://openalex.org/W2610387714","https://openalex.org/W2369308426","https://openalex.org/W1569841287","https://openalex.org/W1512718085","https://openalex.org/W2359001871"],"abstract_inverted_index":{"In":[0],"this":[1,35],"paper,":[2],"we":[3,51,66,81,137],"consider":[4],"the":[5,38,71,76,89,119,128],"lifelong":[6],"age":[7,146,156],"progression":[8],"and":[9,116,123,151],"regression":[10],"task,":[11],"which":[12,65],"requires":[13],"to":[14,33,57,69,93],"synthesize":[15,58],"a":[16,20,27,54,84,95,99,106],"persons":[17,96],"appearance":[18,108],"across":[19],"wide":[21],"range":[22],"of":[23,41,118,130],"ages.":[24],"We":[25],"propose":[26],"simple":[28],"yet":[29],"effective":[30],"learning":[31],"framework":[32],"achieve":[34,144],"by":[36,44,112],"exploiting":[37],"prior":[39],"knowledge":[40],"faces":[42],"captured":[43],"well-trained":[45],"generative":[46],"adversarial":[47],"networks":[48],"(GANs).":[49],"Specifically,":[50],"first":[52],"utilize":[53],"pretrained":[55],"GAN":[56,77,90],"face":[59],"images":[60],"with":[61,64],"different":[62,110],"ages,":[63],"then":[67],"learn":[68],"model":[70,102],"conditional":[72],"aging":[73],"process":[74],"in":[75,88],"latent":[78,91],"space.":[79],"Moreover,":[80],"also":[82,143],"introduce":[83],"cycle":[85],"consistency":[86],"loss":[87],"space":[92],"preserve":[94],"identity.":[97],"As":[98],"result,":[100],"our":[101,131,140],"can":[103,142],"reliably":[104],"predict":[105],"person's":[107],"for":[109,148],"ages":[111],"modifying":[113],"both":[114],"shape":[115],"texture":[117],"head.":[120],"Both":[121],"qualitative":[122],"quantitative":[124],"experimental":[125],"results":[126],"demonstrate":[127,138],"superiority":[129],"method":[132],"over":[133],"concurrent":[134],"works.":[135],"Furthermore,":[136],"that":[139],"approach":[141],"high-quality":[145],"transformation":[147],"painting":[149],"portraits":[150],"cartoon":[152],"characters":[153],"without":[154],"additional":[155],"annotations.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
