3 papers
cs.LG2025
Entering the Era of Discrete Diffusion Models: A Benchmark for Schrödinger Bridges and Entropic Optimal Transport
Xavier Aramayo Carrasco, Grigoriy Ksenofontov, Aleksei Leonov +2
The Entropic Optimal Transport (EOT) problem and its dynamic counterpart, the Schrödinger bridge (SB) problem, play an important role in modern machine learning, linking generative…
cs.CV2024
A Modular Conditional Diffusion Framework for Image Reconstruction
Magauiya Zhussip, Iaroslav Koshelev, Stamatis Lefkimmiatis
Diffusion Probabilistic Models (DPMs) have been recently utilized to deal with various blind image restoration (IR) tasks, where they have demonstrated outstanding performance in t…
cs.CV2024
Robust Two-View Geometry Estimation with Implicit Differentiation
Vladislav Pyatov, Iaroslav Koshelev, Stamatis Lefkimmiatis
We present a novel two-view geometry estimation framework which is based on a differentiable robust loss function fitting. We propose to treat the robust fundamental matrix estimat…