2.6k citations · 3.3k across the 13 of their papers we have counts for
7 papers · 1 filter
Computer-Aided Design as Language
Yaroslav Ganin, Sergey Bartunov, Yujia Li +2
Computer-Aided Design (CAD) applications are used in manufacturing to model everything from coffee mugs to sports cars. These programs are complex and require years of training and…
Unsupervised Doodling and Painting with Improved SPIRAL
John F. J. Mellor, Eunbyung Park, Yaroslav Ganin +7
We investigate using reinforcement learning agents as generative models of images (extending arXiv:1804.01118). A generative agent controls a simulated painting environment, and is…
Synthesizing Programs for Images using Reinforced Adversarial Learning
Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin +2
Advances in deep generative networks have led to impressive results in recent years. Nevertheless, such models can often waste their capacity on the minutiae of datasets, presumabl…
DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation
Yaroslav Ganin, Daniil Kononenko, Diana Sungatullina +1
In this work, we consider the task of generating highly-realistic images of a given face with a redirected gaze. We treat this problem as a specific instance of conditional image g…
Multiregion Bilinear Convolutional Neural Networks for Person Re-Identification
Evgeniya Ustinova, Yaroslav Ganin, Victor Lempitsky
In this work we propose a new architecture for person re-identification. As the task of re-identification is inherently associated with embedding learning and non-rigid appearance…
Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition
Vadim Lebedev, Yaroslav Ganin, Maksim Rakhuba +2
We propose a simple two-step approach for speeding up convolution layers within large convolutional neural networks based on tensor decomposition and discriminative fine-tuning. Gi…
-Fields: Neural Network Nearest Neighbor Fields for Image Transforms
Yaroslav Ganin, Victor Lempitsky
We propose a new architecture for difficult image processing operations, such as natural edge detection or thin object segmentation. The architecture is based on a simple combinati…