Victor Lempitsky

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Skoltech ∙ SAMSUNG

Associate Professor at Skolkovo Institute of Science and Technology

Perceptual Gradient Networks

Many applications of deep learning for image generation use perceptual l...
05/05/2021 ∙ by Dmitry Nikulin, et al. ∙ 17 ∙ share

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StylePeople: A Generative Model of Fullbody Human Avatars

We propose a new type of full-body human avatars, which combines paramet...
04/16/2021 ∙ by Artur Grigorev, et al. ∙ 0 ∙ share

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Point-Based Modeling of Human Clothing

We propose a new approach to human clothing modeling based on point clou...
04/16/2021 ∙ by Ilya Zakharkin, et al. ∙ 0 ∙ share

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Real-time RGBD-based Extended Body Pose Estimation

We present a system for real-time RGBD-based estimation of 3D human pose...
03/05/2021 ∙ by Renat Bashirov, et al. ∙ 6 ∙ share

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CNN with large memory layers

This work is centred around the recently proposed product key memory str...
01/27/2021 ∙ by Rasul Karimov, et al. ∙ 0 ∙ share

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Relightable 3D Head Portraits from a Smartphone Video

In this work, a system for creating a relightable 3D portrait of a human...
12/17/2020 ∙ by Artem Sevastopolsky, et al. ∙ 0 ∙ share

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Image Generators with Conditionally-Independent Pixel Synthesis

Existing image generator networks rely heavily on spatial convolutions a...
11/27/2020 ∙ by Ivan Anokhin, et al. ∙ 0 ∙ share

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

We propose and evaluate a neural point-based graphics method that can mo...
09/06/2020 ∙ by Maria Kolos, et al. ∙ 1 ∙ share

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Fast Bi-layer Neural Synthesis of One-Shot Realistic Head Avatars

We propose a neural rendering-based system that creates head avatars fro...
08/24/2020 ∙ by Egor Zakharov, et al. ∙ 0 ∙ share

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DeepLandscape: Adversarial Modeling of Landscape Video

We build a new model of landscape videos that can be trained on a mixtur...
08/21/2020 ∙ by Elizaveta Logacheva, et al. ∙ 0 ∙ share

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Cloud Transformers

We present a new versatile building block for deep point cloud processin...
07/22/2020 ∙ by Kirill Mazur, et al. ∙ 0 ∙ share

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Neural Head Reenactment with Latent Pose Descriptors

We propose a neural head reenactment system, which is driven by a latent...
04/24/2020 ∙ by Egor Burkov, et al. ∙ 0 ∙ share

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High-Resolution Daytime Translation Without Domain Labels

Modeling daytime changes in high resolution photographs, e.g., re-render...
03/19/2020 ∙ by Ivan Anokhin, et al. ∙ 2 ∙ share

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Stereo relative pose from line and point feature triplets

Stereo relative pose problem lies at the core of stereo visual odometry ...
06/29/2019 ∙ by Alexander Vakhitov, et al. ∙ 1 ∙ share

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Neural Point-Based Graphics

We present a new point-based approach for modeling complex scenes. The a...
06/19/2019 ∙ by Kara-Ali Aliev, et al. ∙ 1 ∙ share

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Textured Neural Avatars

We present a system for learning full-body neural avatars, i.e. deep net...
05/21/2019 ∙ by Aliaksandra Shysheya, et al. ∙ 17 ∙ share

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Few-Shot Adversarial Learning of Realistic Neural Talking Head Models

Several recent works have shown how highly realistic human head images c...
05/20/2019 ∙ by Egor Zakharov, et al. ∙ 4 ∙ share

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Learnable Triangulation of Human Pose

We present two novel solutions for multi-view 3D human pose estimation b...
05/14/2019 ∙ by Karim Iskakov, et al. ∙ 0 ∙ share

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Instance Segmentation of Biological Images Using Harmonic Embeddings

We present a new instance segmentation approach tailored to biological i...
04/10/2019 ∙ by Victor Kulikov, et al. ∙ 20 ∙ share

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Hyperbolic Image Embeddings

Computer vision tasks such as image classification, image retrieval and ...
04/03/2019 ∙ by Valentin Khrulkov, et al. ∙ 26 ∙ share

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Coordinate-based Texture Inpainting for Pose-Guided Image Generation

We present a new deep learning approach to pose-guided resynthesis of hu...
11/28/2018 ∙ by Artur Grigorev, et al. ∙ 7 ∙ share

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Image Manipulation with Perceptual Discriminators

Systems that perform image manipulation using deep convolutional network...
09/05/2018 ∙ by Diana Sungatullina, et al. ∙ 4 ∙ share

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Instance Segmentation by Deep Coloring

We propose a new and, arguably, a very simple reduction of instance segm...
07/26/2018 ∙ by Victor Kulikov, et al. ∙ 6 ∙ share

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Latent Convolutional Models

We present a new latent model of natural images that can be learned on l...
06/16/2018 ∙ by ShahRukh Athar, et al. ∙ 0 ∙ share

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Impostor Networks for Fast Fine-Grained Recognition

In this work we introduce impostor networks, an architecture that allows...
06/13/2018 ∙ by Vadim Lebedev, et al. ∙ 6 ∙ share

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Deep Image Prior

Deep convolutional networks have become a popular tool for image generat...
11/29/2017 ∙ by Dmitry Ulyanov, et al. ∙ 0 ∙ share

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Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55

We introduce a large-scale 3D shape understanding benchmark using data a...
10/17/2017 ∙ by Li Yi, et al. ∙ 0 ∙ share

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It Takes (Only) Two: Adversarial Generator-Encoder Networks

We present a new autoencoder-type architecture that is trainable in an u...
04/07/2017 ∙ by Dmitry Ulyanov, et al. ∙ 0 ∙ share

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Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models

We present a new deep learning architecture (called Kd-network) that is ...
04/04/2017 ∙ by Roman Klokov, et al. ∙ 0 ∙ share

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Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture Synthesis

The recent work of Gatys et al., who characterized the style of an image...
01/09/2017 ∙ by Dmitry Ulyanov, et al. ∙ 0 ∙ share

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Parsing Images of Overlapping Organisms with Deep Singling-Out Networks

This work is motivated by the mostly unsolved task of parsing biological...
12/19/2016 ∙ by Victor Yurchenko, et al. ∙ 0 ∙ share

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End-to-end Learning of Cost-Volume Aggregation for Real-time Dense Stereo

We present a new deep learning-based approach for dense stereo matching....
11/17/2016 ∙ by Andrey Kuzmin, et al. ∙ 0 ∙ share

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Learning Deep Embeddings with Histogram Loss

We suggest a loss for learning deep embeddings. The new loss does not in...
11/02/2016 ∙ by Evgeniya Ustinova, et al. ∙ 0 ∙ share

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Learnable Visual Markers

We propose a new approach to designing visual markers (analogous to QR-c...
10/28/2016 ∙ by Oleg Grinchuk, et al. ∙ 0 ∙ share

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Instance Normalization: The Missing Ingredient for Fast Stylization

It this paper we revisit the fast stylization method introduced in Ulyan...
07/27/2016 ∙ by Dmitry Ulyanov, et al. ∙ 0 ∙ share

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DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation

In this work, we consider the task of generating highly-realistic images...
07/25/2016 ∙ by Yaroslav Ganin, et al. ∙ 0 ∙ share

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Pairwise Quantization

We consider the task of lossy compression of high-dimensional vectors th...
06/05/2016 ∙ by Artem Babenko, et al. ∙ 0 ∙ share

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Texture Networks: Feed-forward Synthesis of Textures and Stylized Images

Gatys et al. recently demonstrated that deep networks can generate beaut...
03/10/2016 ∙ by Dmitry Ulyanov, et al. ∙ 0 ∙ share

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Multiregion Bilinear Convolutional Neural Networks for Person Re-Identification

In this work we propose a new architecture for person re-identification....
12/16/2015 ∙ by Evgeniya Ustinova, et al. ∙ 0 ∙ share

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Fast ConvNets Using Group-wise Brain Damage

We revisit the idea of brain damage, i.e. the pruning of the coefficient...
06/08/2015 ∙ by Vadim Lebedev, et al. ∙ 0 ∙ share

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Domain-Adversarial Training of Neural Networks

We introduce a new representation learning approach for domain adaptatio...
05/28/2015 ∙ by Yaroslav Ganin, et al. ∙ 0 ∙ share

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Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition

We propose a simple two-step approach for speeding up convolution layers...
12/19/2014 ∙ by Vadim Lebedev, et al. ∙ 0 ∙ share

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Unsupervised Domain Adaptation by Backpropagation

Top-performing deep architectures are trained on massive amounts of labe...
09/26/2014 ∙ by Yaroslav Ganin, et al. ∙ 0 ∙ share

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N^4 -Fields: Neural Network Nearest Neighbor Fields for Image Transforms

We propose a new architecture for difficult image processing operations,...
06/25/2014 ∙ by Yaroslav Ganin, et al. ∙ 0 ∙ share

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Victor Lempitsky

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