Instead, in this paper, we address the more realistic and computationally challenging case of spatially-varying blur.
In this paper, we propose a state-of-the-art video denoising algorithm based on a convolutional neural network architecture.
Ranked #3 on Video Denoising on Set8 sigma10
Previous neural network based approaches to video denoising have been unsuccessful as their performance cannot compete with the performance of patch-based methods.
Ranked #3 on Video Denoising on DAVIS sigma30