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GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy
  Images

GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images

25 May 2019
Sungmin Cha
Taeeon Park
Byeongjoon Kim
J. Baek
Taesup Moon
    VLM
ArXivPDFHTML

Papers citing "GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images"

5 / 5 papers shown
Title
Unsupervised Image Denoising in Real-World Scenarios via
  Self-Collaboration Parallel Generative Adversarial Branches
Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branches
X. Lin
Chao Ren
Xiao Liu
Jie Huang
Yinjie Lei
22
22
0
13 Aug 2023
C2N: Practical Generative Noise Modeling for Real-World Denoising
C2N: Practical Generative Noise Modeling for Real-World Denoising
Geonwoon Jang
Wooseok Lee
Sanghyun Son
Kyoung Mu Lee
DiffM
25
78
0
19 Feb 2022
MEGA: Model Stealing via Collaborative Generator-Substitute Networks
MEGA: Model Stealing via Collaborative Generator-Substitute Networks
Chi Hong
Jiyue Huang
L. Chen
11
2
0
31 Jan 2022
FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise
FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise
Jaeseok Byun
Sungmin Cha
Taesup Moon
28
42
0
23 May 2021
CycleISP: Real Image Restoration via Improved Data Synthesis
CycleISP: Real Image Restoration via Improved Data Synthesis
Syed Waqas Zamir
Aditya Arora
Salman Khan
Munawar Hayat
F. Khan
Ming-Hsuan Yang
Ling Shao
DiffM
105
337
0
17 Mar 2020
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