Recently, there has been significant attention on determining the minimu...
A recurrent neural network (RNN) is a widely used deep-learning network ...
Universal approximation, whether a set of functions can approximate an
a...
The ideally disentangled latent space in GAN involves the global
represe...
The impressive success of style-based GANs (StyleGANs) in high-fidelity ...
In this paper, we propose a method to find local-geometry-aware traversa...
We propose a variant of VAE capable of disentangling both variations wit...