Image Denoising via CNNs: An Adversarial Approach

1 August 2017

Papers citing "Image Denoising via CNNs: An Adversarial Approach"

9 / 9 papers shown

Title
Reconstruct-and-Generate Diffusion Model for Detail-Preserving Image Denoising Yujin Wang Lingen Li Tianfan Xue Liang Feng DiffM 32 4 0 19 Sep 2023
A study on the deviations in performance of FNNs and CNNs in the realm of grayscale adversarial images Durga Shree Nagabushanam Steve Mathew C. L. Chowdhary AAML 20 1 0 17 Sep 2022
Wavelength-based Attributed Deep Neural Network for Underwater Image Restoration Prasen Kumar Sharma Ira Bisht Arijit Sur 29 103 0 15 Jun 2021
High Perceptual Quality Image Denoising with a Posterior Sampling CGAN Guy Ohayon Theo Adrai Gregory Vaksman Michael Elad P. Milanfar GAN 44 37 0 06 Mar 2021
High-throughput Onboard Hyperspectral Image Compression with Ground-based CNN Reconstruction D. Valsesia E. Magli 19 37 0 05 Jul 2019
Image Denoising with Graph-Convolutional Neural Networks D. Valsesia Giulia Fracastoro E. Magli 16 44 0 29 May 2019
AVID: Adversarial Visual Irregularity Detection Mohammad Sabokrou M. PourReza Mohsen Fayyaz R. Entezari M. Fathy Jürgen Gall Ehsan Adeli GAN 16 90 0 24 May 2018
Correction by Projection: Denoising Images with Generative Adversarial Networks Subarna Tripathi Zachary Chase Lipton Truong Thao Nguyen 30 53 0 12 Mar 2018
Adversarially Learned One-Class Classifier for Novelty Detection Mohammad Sabokrou Mohammad Khalooei M. Fathy Ehsan Adeli AAML 18 685 0 25 Feb 2018