{"id":"https://openalex.org/W3166936578","doi":"https://doi.org/10.1109/icme51207.2021.9428473","title":"Few-Shot Knowledge Transfer for Fine-Grained Cartoon Face Generation","display_name":"Few-Shot Knowledge Transfer for Fine-Grained Cartoon Face Generation","publication_year":2021,"publication_date":"2021-06-09","ids":{"openalex":"https://openalex.org/W3166936578","doi":"https://doi.org/10.1109/icme51207.2021.9428473","mag":"3166936578"},"language":"en","primary_location":{"id":"doi:10.1109/icme51207.2021.9428473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428473","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 Multimedia and Expo (ICME)","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/A5081705021","display_name":"Nan Zhuang","orcid":"https://orcid.org/0009-0006-5023-2661"},"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":"Nan Zhuang","raw_affiliation_strings":["Peking University,Wangxuan Institute of Computer Technology","Wangxuan Institute of Computer Technology, Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,Wangxuan Institute of Computer Technology","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111968626","display_name":"Cheng Yang","orcid":"https://orcid.org/0009-0003-5050-7387"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng Yang","raw_affiliation_strings":["ByteDance AI Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ByteDance AI Lab","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"abs 1912 1865","issue":null,"first_page":"1","last_page":"6"},"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":0.9661999940872192,"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":0.9595000147819519,"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":0.7978125810623169},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6352812051773071},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.6270490884780884},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.6241425275802612},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6048915386199951},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5259268879890442},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.4740162491798401},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45442652702331543},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.453194260597229},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.43997880816459656},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41703522205352783},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.381005197763443},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3504079282283783},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34609872102737427},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07133561372756958}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7978125810623169},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6352812051773071},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6270490884780884},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.6241425275802612},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6048915386199951},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5259268879890442},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.4740162491798401},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45442652702331543},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.453194260597229},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.43997880816459656},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41703522205352783},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.381005197763443},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3504079282283783},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34609872102737427},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07133561372756958},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme51207.2021.9428473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428473","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 Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1834627138","https://openalex.org/W2295107390","https://openalex.org/W2738588019","https://openalex.org/W2739748921","https://openalex.org/W2798729263","https://openalex.org/W2899388690","https://openalex.org/W2955821113","https://openalex.org/W2962793481","https://openalex.org/W2962851930","https://openalex.org/W2962947361","https://openalex.org/W2962960082","https://openalex.org/W2963073614","https://openalex.org/W2963684088","https://openalex.org/W2963767194","https://openalex.org/W2963800363","https://openalex.org/W2963890275","https://openalex.org/W2981671757","https://openalex.org/W2982763192","https://openalex.org/W2989855043","https://openalex.org/W3034600949","https://openalex.org/W3043547428","https://openalex.org/W3106277454","https://openalex.org/W4294643831","https://openalex.org/W4320013936","https://openalex.org/W6631190155","https://openalex.org/W6685352114","https://openalex.org/W6734074887","https://openalex.org/W6741832134","https://openalex.org/W6745560452","https://openalex.org/W6750298367","https://openalex.org/W6752118638","https://openalex.org/W6765224460","https://openalex.org/W6766150548","https://openalex.org/W6770593915"],"related_works":["https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2980279061","https://openalex.org/W2334685461","https://openalex.org/W2366718574","https://openalex.org/W2359774528","https://openalex.org/W4298312966","https://openalex.org/W2132337154"],"abstract_inverted_index":{"Cartoon":[0],"face":[1],"generation":[2],"is":[3,128,204],"a":[4,104,110,115,188],"task":[5],"that":[6,63,201],"aims":[7],"to":[8,12,85,155,170,206],"convert":[9],"real-face":[10],"photos":[11],"exquisite":[13],"cartoons.":[14],"In":[15,58],"this":[16,100],"paper,":[17],"we":[18,61,81,102,137,185],"are":[19,152,167,217],"interested":[20],"in":[21,49],"generating":[22],"fine-grained":[23],"cartoon":[24,39,209],"faces":[25,40,210],"for":[26,119,146,159,211],"various":[27,50,212],"groups,":[28,136],"such":[29],"as":[30],"women,":[31],"men,":[32],"kids":[33],"and":[34,90,109,215],"the":[35,38,47,74,120,139,163,172,180],"elderly.":[36],"Although":[37],"of":[41,65,69,125,134,174,182,192],"these":[42,66],"groups":[43,51,67,89,194],"share":[44],"similar":[45],"style,":[46],"appearances":[48,158],"could":[52],"still":[53],"have":[54],"some":[55],"specific":[56,157],"characteristics.":[57,198],"our":[59,183,202],"setting,":[60],"assume":[62],"one":[64],"consists":[68,124],"sufficient":[70,126],"training":[71,112],"data":[72],"while":[73,162],"others":[75],"only":[76,95],"contain":[77],"few":[78,96],"samples,":[79],"thus":[80],"can":[82],"study":[83],"how":[84],"transfer":[86],"knowledge":[87],"among":[88],"learn":[91],"group-specific":[92,144],"characteristics":[93],"with":[94,195],"samples.":[97],"To":[98,178],"tackle":[99],"problem,":[101],"propose":[103],"multi-branch":[105],"translation":[106,117],"model":[107,118,141],"architecture":[108],"two-stage":[111],"process.":[113],"First,":[114],"basic":[116,140],"common":[121],"group":[122,161],"(which":[123],"data)":[127],"trained.":[129],"Then,":[130],"given":[131],"new":[132,148],"samples":[133],"other":[135],"extend":[138],"by":[142],"creating":[143],"branches":[145,151],"each":[147,160],"group.":[149],"Group-specific":[150],"updated":[153,168],"directly":[154],"capture":[156],"remaining":[164],"group-shared":[165],"parameters":[166],"indirectly":[169],"maintain":[171],"distribution":[173],"intermediate":[175],"feature":[176],"space.":[177],"validate":[179],"effectiveness":[181],"method,":[184],"further":[186],"collect":[187],"cartoon-face":[189],"dataset":[190],"consisting":[191],"four":[193],"carefully":[196],"designed":[197],"Experiments":[199],"show":[200],"approach":[203],"capable":[205],"generate":[207],"high-quality":[208],"groups.":[213],"Codes":[214],"datasets":[216],"available":[218],"at":[219],"https://github.com/payne53/few_shot_face2cartoon.":[220]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}