tristan-deep/joint-diffusion
Official code repository for the paper: Removing Structured Noise using Diffusion Models
This project helps researchers and practitioners in fields like medical imaging or astronomy clean up images that are obscured by complex, structured patterns of noise. You provide an image with a specific type of structured interference, and the system outputs a clearer version of that image with the noise removed. It's designed for anyone working with visual data where high-quality image clarity is crucial for analysis or presentation.
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Use this if you need to remove structured, predictable noise patterns from images to reveal the underlying content more clearly.
Not ideal if your image noise is random, unstructured, or if you need to generate entirely new images rather than cleaning existing ones.
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Language
Python
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Last pushed
Mar 23, 2025
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