Stable Diffusion based image compression
Nice work!However, a cautionary tale on AI medical image "denoising":(and beyond, in science)- See the artifacts?The algorithm plugs into ambiguous areas of the image stuff it has seen before / it was trained with.
So, if such a system was to "denoise" (or compress, which - if you think about it - is basically the same operation) CT scans, X-rays, MRIs, etc., in ambiguous areas it could plug-in diseased tissue where the ground-truth was actually healthy.Or the opposite, which is even worse: substitute diseased areas of the scan with healthy looking imagery it had been trained on.Reading recent publications that try to do "denoising" or resolution "enhancement" in medical imaging contexts, the authors seem to be completely oblivious to this pitfall.(maybe they had a background as World Bank / IMF economists?)