63 citations · 150 across the 32 of their papers we have counts for
5 papers · 1 filter
Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidance
Tomer Garber, Tom Tirer
Training deep neural networks has become a common approach for addressing image restoration problems. An alternative for training a "task-specific" network for each observation mod…
Denoiser-based projections for 2-D super-resolution multi-reference alignment
Jonathan Shani, Tom Tirer, Raja Giryes +1
We study the 2-D super-resolution multi-reference alignment (SR-MRA) problem: estimating an image from its down-sampled, circularly-translated, and noisy copies. The SR-MRA problem…
An Interpretation of Regularization by Denoising and its Application with the Back-Projected Fidelity Term
Einav Yogev-Ofer, Tom Tirer, Raja Giryes
The vast majority of image recovery tasks are ill-posed problems. As such, methods that are based on optimization use cost functions that consist of both fidelity and prior (regula…
BP-DIP: A Backprojection based Deep Image Prior
Jenny Zukerman, Tom Tirer, Raja Giryes
Deep neural networks are a very powerful tool for many computer vision tasks, including image restoration, exhibiting state-of-the-art results. However, the performance of deep lea…
Image-Adaptive GAN based Reconstruction
Shady Abu Hussein, Tom Tirer, Raja Giryes
In the recent years, there has been a significant improvement in the quality of samples produced by (deep) generative models such as variational auto-encoders and generative advers…