Search Results for author: Ivan Skorokhodov

Found 10 papers, 7 papers with code

StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2

1 code implementation29 Dec 2021 Ivan Skorokhodov, Sergey Tulyakov, Mohamed Elhoseiny

We build our model on top of StyleGAN2 and it is just ${\approx}5\%$ more expensive to train at the same resolution while achieving almost the same image quality.

Imaginative Walks: Generative Random Walk Deviation Loss for Improved Unseen Learning Representation

1 code implementation20 Apr 2021 Divyansh Jha, Kai Yi, Ivan Skorokhodov, Mohamed Elhoseiny

By generating representations of unseen classes based on their semantic descriptions, e. g., attributes or text, generative ZSL attempts to differentiate unseen from seen categories.

Image Generation Zero-Shot Learning

Class Normalization for Zero-Shot Learning

no code implementations ICLR 2021 Ivan Skorokhodov, Mohamed Elhoseiny

Normalization techniques have proved to be a crucial ingredient of successful training in a traditional supervised learning regime.

Zero-Shot Learning

Interpolating Points on a Non-Uniform Grid using a Mixture of Gaussians

1 code implementation24 Dec 2020 Ivan Skorokhodov

In this work, we propose an approach to perform non-uniform image interpolation based on a Gaussian Mixture Model.

Class Normalization for (Continual)? Generalized Zero-Shot Learning

3 code implementations19 Jun 2020 Ivan Skorokhodov, Mohamed Elhoseiny

Normalization techniques have proved to be a crucial ingredient of successful training in a traditional supervised learning regime.

Generalized Zero-Shot Learning

Loss Landscape Sightseeing with Multi-Point Optimization

1 code implementation9 Oct 2019 Ivan Skorokhodov, Mikhail Burtsev

We present multi-point optimization: an optimization technique that allows to train several models simultaneously without the need to keep the parameters of each one individually.

Cannot find the paper you are looking for? You can Submit a new open access paper.