3.1k citations · 8.3k across the 43 of their papers we have counts for
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Coordinate-based Texture Inpainting for Pose-Guided Image Generation
Artur Grigorev, Artem Sevastopolsky, Alexander Vakhitov +1
We present a new deep learning approach to pose-guided resynthesis of human photographs. At the heart of the new approach is the estimation of the complete body surface texture bas…
Image Manipulation with Perceptual Discriminators
Diana Sungatullina, Egor Zakharov, Dmitry Ulyanov +1
Systems that perform image manipulation using deep convolutional networks have achieved remarkable realism. Perceptual losses and losses based on adversarial discriminators are the…
Instance Segmentation by Deep Coloring
Victor Kulikov, Victor Yurchenko, Victor Lempitsky
We propose a new and, arguably, a very simple reduction of instance segmentation to semantic segmentation. This reduction allows to train feed-forward non-recurrent deep instance s…
Impostor Networks for Fast Fine-Grained Recognition
Vadim Lebedev, Artem Babenko, Victor Lempitsky
In this work we introduce impostor networks, an architecture that allows to perform fine-grained recognition with high accuracy and using a light-weight convolutional network, maki…
Latent Convolutional Models
ShahRukh Athar, Evgeny Burnaev, Victor Lempitsky
We present a new latent model of natural images that can be learned on large-scale datasets. The learning process provides a latent embedding for every image in the training datase…