no code implementations • 7 Dec 2023 • Savva Ignatyev, Daniil Selikhanovych, Oleg Voynov, Yiqun Wang, Peter Wonka, Stamatios Lefkimmiatis, Evgeny Burnaev
We present a novel method for 3D surface reconstruction from multiple images where only a part of the object of interest is captured.
2 code implementations • 30 May 2022 • Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev
We study the Neural Optimal Transport (NOT) algorithm which uses the general optimal transport formulation and learns stochastic transport plans.
3 code implementations • 28 Jan 2022 • Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev
We present a novel neural-networks-based algorithm to compute optimal transport maps and plans for strong and weak transport costs.
no code implementations • 10 Dec 2021 • Iaroslav Koshelev, Daniil Selikhanovych, Stamatios Lefkimmiatis
In this work, we study the problem of non-blind image deconvolution and propose a novel recurrent network architecture that leads to very competitive restoration results of high image quality.