Implementation of Retrieval-Augmented Denoising Diffusion Probabilistic Models in Pytorch

Phil Wang

Last update: Jan 1, 2023

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Overview

Retrieval-Augmented Denoising Diffusion Probabilistic Models (wip)

Implementation of Retrieval-Augmented Denoising Diffusion Probabilistic Models in Pytorch

This will make use of the Clip Retrieval library made by @rom1504

Citations

@article{Blattmann2022RetrievalAugmentedDM,
    title   = {Retrieval-Augmented Diffusion Models},
    author  = {A. Blattmann and Robin Rombach and K Oktay and Bj{\"o}rn Ommer},
    journal = {ArXiv},
    year    = {2022},
    volume  = {abs/2204.11824}
}

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Owner

Phil Wang

Working with Attention. It's all we need

GitHub

Minimal diffusion models - Minimal code and simple experiments to play with Denoising Diffusion Probabilistic Models (DDPMs)

Minimal code and simple experiments to play with Denoising Diffusion Probabilist

16 Oct 6, 2022

Implementation of Retrieval-Augmented Denoising Diffusion Probabilistic Models in Pytorch

Related tags

Overview

Retrieval-Augmented Denoising Diffusion Probabilistic Models (wip)

Citations

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