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Official pytorch repository for “Guidance with Spherical Gaussian Constraint for Conditional Diffusion”

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[ICML 2024] Guidance with Spherical Gaussian Constraint for Conditional Diffusion

Code release for "Guidance with Spherical Gaussian Constraint for Conditional Diffusion(DSG)".

[paper]

1

The code implementation is based on DPS (https://github.com/DPS2022/diffusion-posterior-sampling) and Freedom (https://github.com/vvictoryuki/FreeDoM/tree/main), including the Linear Inverse Problems and Non-linear Problems. See ./Linear_Inverse_Problem/README.md and ./Non_Linear_Problems/README.md for further details.

Citation

If you find our work useful in your research, please consider citing

@inproceedings{
yang2023dsg,
title={Guidance with Spherical Gaussian Constraint for Conditional Diffusion},
author={Lingxiao Yang and Shutong Ding and Yifan Cai and Jingyi Yu and Jingya Wang and Ye Shi},
booktitle={International Conference on Machine Learning},
year={2024}
}

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Official pytorch repository for “Guidance with Spherical Gaussian Constraint for Conditional Diffusion”

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