7 DAILY WACV Friday Single-Image Deblurring … “The hardest part was trying not to make mistakes because, compared to GANs, you just give the network the right loss, check your data, and it works!” he explains. “The diffusion model we used is given a white Gaussian noise, and it transforms the noise into something meaningful. What we trained the model to do is, given this single image of a blurred object that is moving very fast and K Gaussian white noise initializations, reconstruct K temporally consequent images of that object as if it was captured by a highspeed camera. It turned out to work very well.”
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