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One-Step Residual Shifting Diffusion for Image Super-Resolution via Distillation
Daniil Selikhanovych, David Li, Aleksei Leonov +6
Diffusion models for super-resolution (SR) produce high-quality visual results but require expensive computational costs. Despite the development of several methods to accelerate d…
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…
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…