2018
Auto-Conditioned Recurrent Networks for Extended Complex Human Motion Synthesis
ICLR 2018poster
We present a real-time method for synthesizing highly complex human motions using a novel training regime we call the auto-conditioned Recurrent Neural Network (acRNN). Recently, researchers have attempted to synthesize new motion by using autoregressive techniques, but existing methods tend to free…