Learning Human Motion Models for Long-term Predictions

10 Apr 2017Partha GhoshJie SongEmre AksanOtmar Hilliges

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 sequences over long time horizons without catastrophic drift or motion degradation... (read more)

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