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Lecture 3 - Introduction to Diffusion Models (DDPM) | Principles of Diffusion Models
Автор: Vizuara
Загружено: 2025-12-25
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Описание:
In this lecture, we look at the theory proposed in the paper, "Denoising Diffusion Probabilistic Models": https://arxiv.org/abs/2006.11239
We understand the diffusion process completely from scratch and view at this from a lens such that it is an extension of variational autoencoders.
We first cover the forward process. Then we cover the reverse process.
Here are the Google Colab notebooks which are used:
Forward Transition Kernel: https://colab.research.google.com/dri...
Reverse Transition Kernel: https://colab.research.google.com/dri...
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