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Modification of README.md file to incorporate 2d_diffusion_autoencoder info. #1876

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Nov 11, 2024
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Modification of README.md file to incorporate 2d_diffusion_autoencoder info. #1876

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Recommitting after hard reset
Nov 11, 2024
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Fixed one pep8 error.
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Fixed one pep8 error.
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Merge branch 'Project-MONAI:main' into main
virginiafdez Nov 11, 2024
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Update to the README file to include diffusion autoencoder.
Nov 11, 2024
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[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Nov 11, 2024
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Expand Up @@ -78,3 +78,6 @@ Examples show how to perform anomaly detection in 2D, using implicit guidance [2

## 2D super-resolution using diffusion models: [using torch](./2d_super_resolution/2d_sd_super_resolution.ipynb) and [using torch lightning](./2d_super_resolution/2d_sd_super_resolution_lightning.ipynb).
Examples show how to perform super-resolution in 2D, using PyTorch and PyTorch Lightning.

## [Guiding the synthetic process using a semantic encoder](./2d_diffusion_autoencoder/2d_diffusion_autoencoder.ipynb)
Example shows how to train a DDPM and an encoder simultaneously, resulting in the latents of the encoder guiding the inference process of the DDPM.
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