Denoising Diffusion Probabilistic Models 🎨, and High-Resolution Image Synthesis with Latent Diffusion Models 🧨, papers implementation from scratch using pytorch.
@misc{ho2020denoising,
title = {Denoising Diffusion Probabilistic Models},
author = {Jonathan Ho and Ajay Jain and Pieter Abbeel},
year = {2020},
eprint = {2006.11239},
archivePrefix = {arXiv},
primaryClass = {cs.LG}
}
@misc{rombach2021highresolution,
title={High-Resolution Image Synthesis with Latent Diffusion Models},
author={Robin Rombach and Andreas Blattmann and Dominik Lorenz and Patrick Esser and Björn Ommer},
year={2021},
eprint={2112.10752},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
@misc{https://doi.org/10.48550/arxiv.2204.11824,
doi = {10.48550/ARXIV.2204.11824},
url = {https://arxiv.org/abs/2204.11824},
author = {Blattmann, Andreas and Rombach, Robin and Oktay, Kaan and Ommer, Björn},
keywords = {Computer Vision and Pattern Recognition (cs.CV), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {Retrieval-Augmented Diffusion Models},
publisher = {arXiv},
year = {2022},
copyright = {arXiv.org perpetual, non-exclusive license}
}