Search Results for author: Artem Sevastopolsky

Found 9 papers, 5 papers with code

HeadCraft: Modeling High-Detail Shape Variations for Animated 3DMMs

no code implementations21 Dec 2023 Artem Sevastopolsky, Philip-William Grassal, Simon Giebenhain, ShahRukh Athar, Luisa Verdoliva, Matthias Niessner

The decomposition of the parametric model and high-quality vertex displacements allows us to animate the model and modify it semantically.

TriPlaneNet: An Encoder for EG3D Inversion

no code implementations23 Mar 2023 Ananta R. Bhattarai, Matthias Nießner, Artem Sevastopolsky

Recent progress in NeRF-based GANs has introduced a number of approaches for high-resolution and high-fidelity generative modeling of human heads with a possibility for novel view rendering.

How to Boost Face Recognition with StyleGAN?

1 code implementation ICCV 2023 Artem Sevastopolsky, Yury Malkov, Nikita Durasov, Luisa Verdoliva, Matthias Nießner

We show that a simple approach based on fine-tuning pSp encoder for StyleGAN allows us to improve upon the state-of-the-art facial recognition and performs better compared to training on synthetic face identities.

Face Recognition

Relightable 3D Head Portraits from a Smartphone Video

no code implementations17 Dec 2020 Artem Sevastopolsky, Savva Ignatiev, Gonzalo Ferrer, Evgeny Burnaev, Victor Lempitsky

The model is fitted to the sequence of frames with human face-specific priors that enforce the plausibility of albedo-lighting decomposition and operates at the interactive frame rate.

Denoising

TRANSPR: Transparency Ray-Accumulating Neural 3D Scene Point Renderer

1 code implementation6 Sep 2020 Maria Kolos, Artem Sevastopolsky, Victor Lempitsky

New scenes can be modeled using gradient-based optimization of neural descriptors and of the rendering network.

Neural Rendering

Neural Point-Based Graphics

7 code implementations ECCV 2020 Kara-Ali Aliev, Artem Sevastopolsky, Maria Kolos, Dmitry Ulyanov, Victor Lempitsky

A deep rendering network is learned in parallel with the descriptors, so that new views of the scene can be obtained by passing the rasterizations of a point cloud from new viewpoints through this network.

Coordinate-based Texture Inpainting for Pose-Guided Image Generation

1 code implementation28 Nov 2018 Artur Grigorev, Artem Sevastopolsky, Alexander Vakhitov, Victor Lempitsky

Since the input photograph always observes only a part of the surface, we suggest a new inpainting method that completes the texture of the human body.

Pose-Guided Image Generation Resynthesis

Stack-U-Net: Refinement Network for Image Segmentation on the Example of Optic Disc and Cup

no code implementations30 Apr 2018 Artem Sevastopolsky, Stepan Drapak, Konstantin Kiselev, Blake M. Snyder, Jeremy D. Keenan, Anastasia Georgievskaya

In this work, we propose a special cascade network for image segmentation, which is based on the U-Net networks as building blocks and the idea of the iterative refinement.

Image Segmentation Segmentation +1

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