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This project forked from minjepar/ddpm_pytorch
DDPM from scratch on CIFAR
ddpm_pytorch2's Introduction
Denoising Diffusion Probablistic Models (DDPM) implementation from scratch on PyTorch
- Easy-to-follow and straightforward implementation of DDPM (based on jupyter notebook)
- Tried to use the original parameters and formulas without any modification
- Added visualizer for checking forward and backward process
![Backward process](https://user-images.githubusercontent.com/89180010/210683042-24c01806-315d-4496-a3c0-5a6a928aea5b.png)
- Simple U Net with time embedding used in Transformer
How to use reparameterization trick for optimizing stochastic part
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