Diffusion Models in Vision: A Survey

🤖 Plain-English Summary

Denoising diffusion models represent a recent emerging topic in computer vision, demonstrating remarkable results in the area of generative modeling. Then, we introduce a multi-perspective categorization of diffusion models applied in computer vision.

🔑 Key Findings

• A diffusion model is a deep generative model that is based on two stages, a forward diffusion stage and a reverse diffusion stage.
• In the forward diffusion stage, the input data is gradually perturbed over several steps by adding Gaussian noise.
• In the reverse stage, a model is tasked at recovering the original input data by learning to gradually reverse the diffusion process, step by step.

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