128 citations · 329 across the 32 of their papers we have counts for
4 papers · 2 filters
BIGRoC: Boosting Image Generation via a Robust Classifier
Roy Ganz, Michael Elad
The interest of the machine learning community in image synthesis has grown significantly in recent years, with the introduction of a wide range of deep generative models and means…
Improved Image Generation via Sparse Modeling
Roy Ganz, Michael Elad
The interest of the deep learning community in image synthesis has grown massively in recent years. Nowadays, deep generative methods, and especially Generative Adversarial Network…
Patch Craft: Video Denoising by Deep Modeling and Patch Matching
Gregory Vaksman, Michael Elad, Peyman Milanfar
The non-local self-similarity property of natural images has been exploited extensively for solving various image processing problems. When it comes to video sequences, harnessing…
High Perceptual Quality Image Denoising with a Posterior Sampling CGAN
Guy Ohayon, Theo Adrai, Gregory Vaksman +2
The vast work in Deep Learning (DL) has led to a leap in image denoising research. Most DL solutions for this task have chosen to put their efforts on the denoiser's architecture w…