The following tutorial introduces the use of a simple autoregressive model for generating sequences of dance poses. This model can be trained on motion capture data. The model uses a long short term memory (LSTM) network to predict the continuation of a sequence of poses.<\/p>\n\n\n\n
This tutorial forms part of a series of tutorials on using PyTorch to create and train generative deep learning models. The code for these tutorials is available here<\/a>.<\/p>\n\n\n\n After 1000 epochs of training, the model generates pose sequences that look like this when rendered as skeleton animations.<\/p>\n\n\n\n