127 citations · 137 across the 3 of their papers we have counts for
4 papers
Controllable blind deblurring with diffusion models
Imane Si Salah, Emile Cribelier, Thomas Veit +2
Image acquisition with a camera involves several degradations due to the optical system, sensor, or low-level processing steps. We address blind deblurring in professional photogra…
An Analysis and Implementation of the HDR+ Burst Denoising Method
Antoine Monod, Julie Delon, Thomas Veit
HDR+ is an image processing pipeline presented by Google in 2016. At its core lies a denoising algorithm that uses a burst of raw images to produce a single higher quality image. S…
FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation
Matias Tassano, Julie Delon, Thomas Veit
In this paper, we propose a state-of-the-art video denoising algorithm based on a convolutional neural network architecture. Until recently, video denoising with neural networks ha…
DVDnet: A Fast Network for Deep Video Denoising
Matias Tassano, Julie Delon, Thomas Veit
In this paper, we propose a state-of-the-art video denoising algorithm based on a convolutional neural network architecture. Previous neural network based approaches to video denoi…