[Submitted on 24 Sep 2024]
View a PDF of the paper titled Diffusion Models to Enhance the Resolution of Microscopy Images: A Tutorial, by Harshith Bachimanchi and Giovanni Volpe
Abstract:Diffusion models have emerged as a prominent technique in generative modeling with neural networks, making their mark in tasks like text-to-image translation and super-resolution. In this tutorial, we provide a comprehensive guide to build denoising diffusion probabilistic models (DDPMs) from scratch, with a specific focus on transforming low-resolution microscopy images into their corresponding high-resolution versions. We provide the theoretical background, mathematical derivations, and a detailed Python code implementation using PyTorch, along with techniques to enhance model performance.
Submission history
From: Harshith Bachimanchi [view email]
[v1]
Tue, 24 Sep 2024 22:29:22 UTC (4,386 KB)
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