Laughing Matters: Introducing Laughing-Face Generation using Diffusion Models

1 code implementation • 15 May 2023 • Antoni Bigata Casademunt, Rodrigo Mira, Nikita Drobyshev, Konstantinos Vougioukas, Stavros Petridis, Maja Pantic

Speech-driven animation has gained significant traction in recent years, with current methods achieving near-photorealistic results.

Face Generation

MegaPortraits: One-shot Megapixel Neural Head Avatars

no code implementations • 15 Jul 2022 • Nikita Drobyshev, Jenya Chelishev, Taras Khakhulin, Aleksei Ivakhnenko, Victor Lempitsky, Egor Zakharov

In this work, we advance the neural head avatar technology to the megapixel resolution while focusing on the particularly challenging task of cross-driving synthesis, i. e., when the appearance of the driving image is substantially different from the animated source image.

Unpaired Depth Super-Resolution in the Wild

1 code implementation • 25 May 2021 • Aleksandr Safin, Maxim Kan, Nikita Drobyshev, Oleg Voynov, Alexey Artemov, Alexander Filippov, Denis Zorin, Evgeny Burnaev

We propose an unpaired learning method for depth super-resolution, which is based on a learnable degradation model, enhancement component and surface normal estimates as features to produce more accurate depth maps.

Depth Map Super-Resolution Image-to-Image Translation +1

Interpretation of 3D CNNs for Brain MRI Data Classification

1 code implementation • 20 Jun 2020 • Maxim Kan, Ruslan Aliev, Anna Rudenko, Nikita Drobyshev, Nikita Petrashen, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev

Deep learning shows high potential for many medical image analysis tasks.

Classification General Classification