Before revision:  We further propose CFAN-VAE, a novel architecture that disentangles identity and pose using the CFAN feature and parallel transport convolution. CFAN-VAE achieves this geometric disentanglement in an unsupervised way, as it does not require label information on the identity or pose during training  .
After revision:  We further propose CFAN-VAE, a novel architecture that disentangles identity and pose using the CFAN feature . Requiring no label information on the identity or pose during training .