4.1. Diffusion Models as Generative Denoiser Prior. 扩散模型作为生成式去噪先验的一个重要特性是，模型可以被理解为生成器（前几步）和去噪器（剩余步骤）的组合。直觉上，我们可以将 …

在风靡全球的GAN结构仍旧统治着生成模型这一领域的2020年，一篇另辟蹊径的论文（Denoising Diffusion Probabilistic）带着生僻的数学概念正在不同应用领域中悄然发芽。

2024年11月3日 · Diffusion-based generative models aim to denoise a Langevin diffusion chain, moving from a log-concave equilibrium measure $\nu$, say isotropic Gaussian, back to a …

This paper proposes DiffPIR, which integrates the traditional plug-and-play method into the diffusion sampling framework. Compared to plug-and-play IR methods that rely on …

the diffusion and denoising processes to discover potential noisy distributions of the multi-task prediction maps, and learns to rectify the prediction maps. We further present two distinct …

2024年5月22日 · In this paper, we present the Directly Denoising Diffusion Model (DDDM): a simple and generic approach for generating realistic images with few-step sampling, while …