Article

Medical Image Generation using Denoising Diffusion Probabilistic Model

2026-01-12

Abstract excerpt

<title>Abstract</title> <p>Denoising Diffusion Probabilistic Models (DDPMs) have emerged as a new state of the art for image generation. Unlike previous approaches, like GANs and VAEs (which sometimes have difficulty during training or suffer from issues such as mode collapse), DDPMs follow a more stable approach that gradually diminishes noise in an image over many steps. While this method is less efficient, it...

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Literature Corpus work: 6134817e-73b8-5df8-b0e0-82dd3dc0ff6d
DOI: 10.21203/rs.3.rs-8212171/v1

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