{"id":"https://openalex.org/W3093968586","doi":"https://doi.org/10.1109/cog47356.2020.9231650","title":"Image-to-Image Translation Method for Game-Character Face Generation","display_name":"Image-to-Image Translation Method for Game-Character Face Generation","publication_year":2020,"publication_date":"2020-08-01","ids":{"openalex":"https://openalex.org/W3093968586","doi":"https://doi.org/10.1109/cog47356.2020.9231650","mag":"3093968586"},"language":"en","primary_location":{"id":"doi:10.1109/cog47356.2020.9231650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cog47356.2020.9231650","pdf_url":null,"source":{"id":"https://openalex.org/S4306498668","display_name":"2020 IEEE Conference on Games (CoG)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Conference on Games (CoG)","raw_type":"proceedings-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/A5032715085","display_name":"Shin-Jin Kang","orcid":"https://orcid.org/0000-0002-3839-5947"},"institutions":[{"id":"https://openalex.org/I94588446","display_name":"Hongik University","ror":"https://ror.org/00egdv862","country_code":"KR","type":"education","lineage":["https://openalex.org/I94588446"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Shinjin Kang","raw_affiliation_strings":["School of Games Hongik Univeristy, Sejong, Korea"],"affiliations":[{"raw_affiliation_string":"School of Games Hongik Univeristy, Sejong, Korea","institution_ids":["https://openalex.org/I94588446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042030233","display_name":"Yoonchan Ok","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135449","display_name":"NCSOFT (South Korea)","ror":"https://ror.org/03q4mza74","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210135449"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yoonchan Ok","raw_affiliation_strings":["NCsoft, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"NCsoft, Seoul, Korea","institution_ids":["https://openalex.org/I4210135449"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011665600","display_name":"Hwanhee Kim","orcid":"https://orcid.org/0000-0001-6563-9110"},"institutions":[{"id":"https://openalex.org/I4210135449","display_name":"NCSOFT (South Korea)","ror":"https://ror.org/03q4mza74","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210135449"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hwanhee Kim","raw_affiliation_strings":["NCsoft, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"NCsoft, Seoul, Korea","institution_ids":["https://openalex.org/I4210135449"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001853269","display_name":"Teasung Hahn","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135449","display_name":"NCSOFT (South Korea)","ror":"https://ror.org/03q4mza74","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210135449"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Teasung Hahn","raw_affiliation_strings":["NCsoft, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"NCsoft, Seoul, Korea","institution_ids":["https://openalex.org/I4210135449"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5032715085"],"corresponding_institution_ids":["https://openalex.org/I94588446"],"apc_list":null,"apc_paid":null,"fwci":0.4906,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.71828666,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"628","last_page":"631"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9983999729156494,"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/T11448","display_name":"Face recognition and analysis","score":0.9983999729156494,"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":0.9965000152587891,"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/T12290","display_name":"Human Motion and Animation","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.7285135388374329},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6866176128387451},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.6706442832946777},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6569355726242065},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6400617361068726},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6308718919754028},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6015469431877136},{"id":"https://openalex.org/keywords/image-translation","display_name":"Image translation","score":0.55916827917099},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1342734694480896},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.12850096821784973}],"concepts":[{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.7285135388374329},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6866176128387451},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.6706442832946777},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6569355726242065},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6400617361068726},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6308718919754028},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6015469431877136},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.55916827917099},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1342734694480896},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.12850096821784973},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"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/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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cog47356.2020.9231650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cog47356.2020.9231650","pdf_url":null,"source":{"id":"https://openalex.org/S4306498668","display_name":"2020 IEEE Conference on Games (CoG)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Conference on Games (CoG)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2470394683","https://openalex.org/W2618574778","https://openalex.org/W2787928077","https://openalex.org/W2962793481","https://openalex.org/W2962858109","https://openalex.org/W2962947361","https://openalex.org/W2962960082","https://openalex.org/W2963278124","https://openalex.org/W2963460857","https://openalex.org/W2963981733","https://openalex.org/W2981915309","https://openalex.org/W2995910740","https://openalex.org/W3018495835","https://openalex.org/W3034521057","https://openalex.org/W4301206121","https://openalex.org/W6637373629","https://openalex.org/W6720898849","https://openalex.org/W6734074887","https://openalex.org/W6738510445","https://openalex.org/W6748733227","https://openalex.org/W6765779288","https://openalex.org/W6766150548","https://openalex.org/W6766854334","https://openalex.org/W6776739320"],"related_works":["https://openalex.org/W4288069866","https://openalex.org/W2986947168","https://openalex.org/W3166978923","https://openalex.org/W4389232935","https://openalex.org/W2904276469","https://openalex.org/W3109545856","https://openalex.org/W3155045749","https://openalex.org/W2936127876","https://openalex.org/W4213477128","https://openalex.org/W3110114991"],"abstract_inverted_index":{"Traditional":[0],"image-to-image":[1,19,47,72,95],"translation":[2,20,48,73],"methods":[3,10],"effectively":[4],"change":[5],"the":[6,32,77,87],"style;":[7],"however,":[8],"these":[9],"have":[11],"several":[12],"limitations":[13],"in":[14,53,70,97],"shape":[15,59],"changing.":[16],"Particularly,":[17],"current":[18],"technology":[21],"is":[22,51,90],"not":[23],"effective":[24],"for":[25,68],"changing":[26],"a":[27,35,44],"real-world":[28],"face":[29,33,100],"image":[30],"to":[31,92],"of":[34,99],"virtual":[36],"character.":[37],"To":[38],"solve":[39],"this":[40],"problem,":[41],"we":[42],"propose":[43],"novel":[45],"unsupervised":[46],"method":[49,89],"that":[50,86],"specialized":[52,67],"facial":[54],"changes":[55],"accompanied":[56],"by":[57],"radical":[58],"changes.":[60],"We":[61],"apply":[62],"two":[63],"feature":[64],"loss":[65],"functions":[66],"faces":[69],"an":[71],"technique":[74],"based":[75],"on":[76],"generative":[78],"adversarial":[79],"network":[80],"framework.":[81],"The":[82],"experimental":[83],"results":[84],"show":[85],"proposed":[88],"superior":[91],"other":[93],"recent":[94],"algorithms":[96],"case":[98],"deformations.":[101]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}