Vladimir Vladimirovich Palyulin — accepted AI-conference papers

2025

Color Transfer with Modulated Flows

Maria Larchenko, Alexander Lobashev, Dmitry Guskov, Vladimir Vladimirovich Palyulin

AAAI 2025technical

In this work, we introduce Modulated Flows (ModFlows), a novel approach for color transfer between images based on rectified flows. The primary goal of the color transfer is to adjust the colors of a target image to match the color distribution of a reference image. Our technique is based on optimal…

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗

2025

Field Matching: an Electrostatic Paradigm to Generate and Transfer Data

Alexander Kolesov, S. I. Manukhov, Vladimir Vladimirovich Palyulin, Alexander Korotin

ICML 2025poster

We propose Electrostatic Field Matching (EFM), a novel method that is suitable for both generative modelling and distribution transfer tasks. Our approach is inspired by the physics of an electrical capacitor. We place source and target distributions on the capacitor plates and assign them positive…

Cited by 0 Source ↗PDF ↗Scholar ↗