High Perceptual Quality Image Denoising with a Posterior Sampling CGAN — mentioned by fxtentacle

Thu, 21 Jul 2022 16:37:05 GMT

> The denoising part of a denoising autoencoder refers to the noise applied to its input Agree, it converts a noisy image to a denoised image. But the odd thing is, when you put a noisy image into a StyleGAN2 encoder, you get latents which the decoder will turn into a de-noised image. So in practical use, you can take a trained StyleGAN2 encoder/decoder pair and use it as if it was a denoiser. For example https://arxiv.org/abs/2103.04192 > These differences lead to learned distributions in the latent space that are entirely different I also agree there. The training for a denoising…

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High Perceptual Quality Image Denoising with a Posterior Sampling CGAN · HackerPapers discussions

High Perceptual Quality Image Denoising with a Posterior Sampling CGAN — mentioned by fxtentacle