ReCell: replicating recurrent cell for auto-regressive pose generation

V. Korzun, Anna Beloborodova, Arkady Ilin
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引用次数: 5

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.
ReCell:复制复发细胞以产生自退姿态
本文描述了FineMotion为2022年GENEA挑战赛设计的手势生成系统。我们的系统是基于模仿循环细胞的自回归方法。结合特殊的窗口自动编码器和训练方法,该系统生成适合输入语音的合理手势。
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