References and tutorials

[mxochicale]

Germán Barquero [4:12 PM] This is a pretty nice tutorial that goes step-by-step on the definition of all the pipeline: https://huggingface.co/blog/annotated-diffusion

[mxochicale]

TomRen [4:23 PM]: Some collections of DDPM:

Denoising Diffusion Probabilistic Models Paper: https://arxiv.org/pdf/2006.11239.pdf code: https://github.com/hojonathanho/diffusion code:https://github.com/lucidrains/denoising-diffusion-pytorch a notebook:https://github.com/acids-ircam/diffusion_models

Improved Denoising Diffusion Probabilistic Models Paper: https://arxiv.org/abs/2102.09672 code: https://github.com/openai/improved-diffusion

Inpainting using Denoising Diffusion Probabilistic Models Paper:https://arxiv.org/pdf/2201.09865.pdf https://github.com/hojonathanho/diffusion

Denoising Diffusion Probabilistic Models. https://github.com/hojonathanho/diffusion

Implementation of Denoising Diffusion Probabilistic Model in Pytorch https://github.com/lucidrains/denoising-diffusion-pytorch

A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch https://github.com/acids-ircam/diffusion_models

Improved Denoising Diffusion Probabilistic Models https://arxiv.org/abs/2102.09672