Experiments conducted has shown that finding manifold of motion generation and disentanglement of it is difficult.
BERT suggested not only a transformer based representation learning, but also presented Masked Language Model(MLM) task, which considerably resembles our in-betweening work.
Experiments conducted has shown that finding manifold of motion generation and disentanglement of it is difficult.
BERT suggested not only a transformer based representation learning, but also presented Masked Language Model(MLM) task, which considerably resembles our in-betweening work.
Similar approach is studied at https://arxiv.org/abs/2103.00776.
Any kinds of discriminator (1D Conv, Transformer Decoder, RNN-based Decoder) can be integrated to yield mutual information loss.