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Vage Egiazarian
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Wasserstein-2 generative networks
A Korotin, V Egiazarian, A Asadulaev, A Safin, E Burnaev
arXiv preprint arXiv:1909.13082, 2019
332019
Perceptual deep depth super-resolution
O Voynov, A Artemov, V Egiazarian, A Notchenko, G Bobrovskikh, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
312019
Deep vectorization of technical drawings
V Egiazarian, O Voynov, A Artemov, D Volkhonskiy, A Safin, ...
European Conference on Computer Vision, 582-598, 2020
272020
Wasserstein iterative networks for barycenter estimation
A Korotin, V Egiazarian, L Li, E Burnaev
arXiv preprint arXiv:2201.12245, 2022
32022
Latent-Space Laplacian Pyramids for Adversarial Representation Learning with 3D Point Clouds
V Egiazarian, S Ignatyev, A Artemov, O Voynov, A Kravchenko, Y Zheng, ...
15th International Joint Conference on Computer Vision, Imaging and Computer …, 2020
22020
Beyond vector spaces: Compact data representation as differentiable weighted graphs
D Mazur, V Egiazarian, S Morozov, A Babenko
arXiv preprint arXiv:1910.03524, 2019
22019
Neural Optimal Transport with General Cost Functionals
A Asadulaev, A Korotin, V Egiazarian, E Burnaev
arXiv preprint arXiv:2205.15403, 2022
12022
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Articles 1–7