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Apr, 2017
学习人体运动模型进行长期预测
Learning Human Motion Models for Long-term Predictions
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Partha Ghosh, Jie Song, Emre Aksan, Otmar Hilliges
TL;DR
使用自动编码器的LSTM模型从数据中学习预测时空运动模型、自动生成自然运动序列并开发新的评估协议,成功地在两个最大的运动捕捉数据集上表现出长时间水平高于现有的预测和合成方法。
Abstract
We propose a new architecture for the learning of
predictive spatio-temporal motion models
from data alone. Our approach, dubbed the
dropout autoencoder lstm
, is capable of synthesizing natural looking motion seq
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