Implicit λ-Jeffreys Autoencoders: Taking the Best of Both Worlds

no code implementations • ICLR 2020 • Aibek Alanov, Max Kochurov, Artem Sobolev, Daniil Yashkov, Dmitry Vetrov

We show that it takes the best properties of VAE and GAN objectives.

User-Controllable Multi-Texture Synthesis with Generative Adversarial Networks

no code implementations • 9 Apr 2019 • Aibek Alanov, Max Kochurov, Denis Volkhonskiy, Daniil Yashkov, Evgeny Burnaev, Dmitry Vetrov

We propose a novel multi-texture synthesis model based on generative adversarial networks (GANs) with a user-controllable mechanism.

Descriptive Texture Synthesis

Pairwise Augmented GANs with Adversarial Reconstruction Loss

no code implementations • ICLR 2019 • Aibek Alanov, Max Kochurov, Daniil Yashkov, Dmitry Vetrov

We experimentally demonstrate that our model generates samples and reconstructions of quality competitive with state-of-the-art on datasets MNIST, CIFAR10, CelebA and achieves good quantitative results on CIFAR10.