{"title":"ReCell:复制复发细胞以产生自退姿态","authors":"V. Korzun, Anna Beloborodova, Arkady Ilin","doi":"10.1145/3536220.3558801","DOIUrl":null,"url":null,"abstract":"This paper describes FineMotion’s gesture generating system entry for the GENEA Challenge 2022. Our system is based on auto-regressive approach imitating recurrent cell. Combined with a special windowed auto-encoder and training approach this system generates plausible gestures appropriate to input speech.","PeriodicalId":186796,"journal":{"name":"Companion Publication of the 2022 International Conference on Multimodal Interaction","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"ReCell: replicating recurrent cell for auto-regressive pose generation\",\"authors\":\"V. Korzun, Anna Beloborodova, Arkady Ilin\",\"doi\":\"10.1145/3536220.3558801\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes FineMotion’s gesture generating system entry for the GENEA Challenge 2022. Our system is based on auto-regressive approach imitating recurrent cell. Combined with a special windowed auto-encoder and training approach this system generates plausible gestures appropriate to input speech.\",\"PeriodicalId\":186796,\"journal\":{\"name\":\"Companion Publication of the 2022 International Conference on Multimodal Interaction\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Companion Publication of the 2022 International Conference on Multimodal Interaction\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3536220.3558801\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Companion Publication of the 2022 International Conference on Multimodal Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3536220.3558801","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
ReCell: replicating recurrent cell for auto-regressive pose generation
This paper describes FineMotion’s gesture generating system entry for the GENEA Challenge 2022. Our system is based on auto-regressive approach imitating recurrent cell. Combined with a special windowed auto-encoder and training approach this system generates plausible gestures appropriate to input speech.