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Tell Me What You See: Text-Guided Real-World Image Denoising
v1v2v3 (latest)

Tell Me What You See: Text-Guided Real-World Image Denoising

15 December 2023
E. Yosef
Raja Giryes
    DiffM
ArXiv (abs)PDFHTML

Papers citing "Tell Me What You See: Text-Guided Real-World Image Denoising"

18 / 68 papers shown
Title
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
Fahad Shahbaz Khan
Ming-Hsuan Yang
Ling Shao
DiffM
160
343
0
17 Mar 2020
ManiGAN: Text-Guided Image Manipulation
ManiGAN: Text-Guided Image Manipulation
Bowen Li
Xiaojuan Qi
Thomas Lukasiewicz
Philip Torr
EGVM
100
286
0
12 Dec 2019
Real Image Denoising with Feature Attention
Real Image Denoising with Feature Attention
Saeed Anwar
Nick Barnes
66
508
0
16 Apr 2019
Noise2Self: Blind Denoising by Self-Supervision
Noise2Self: Blind Denoising by Self-Supervision
Joshua D. Batson
Loic A. Royer
76
661
0
30 Jan 2019
Unprocessing Images for Learned Raw Denoising
Unprocessing Images for Learned Raw Denoising
Tim Brooks
B. Mildenhall
Tianfan Xue
Jiawen Chen
Dillon Sharlet
Jonathan T. Barron
88
442
0
27 Nov 2018
Noise2Void - Learning Denoising from Single Noisy Images
Noise2Void - Learning Denoising from Single Noisy Images
Alexander Krull
T. Buchholz
Florian Jug
105
1,103
0
27 Nov 2018
Class-Aware Fully-Convolutional Gaussian and Poisson Denoising
Class-Aware Fully-Convolutional Gaussian and Poisson Denoising
Tal Remez
Or Litany
Raja Giryes
A. Bronstein
BDL
48
72
0
20 Aug 2018
Toward Convolutional Blind Denoising of Real Photographs
Toward Convolutional Blind Denoising of Real Photographs
Shi Guo
Zifei Yan
Peng Sun
W. Zuo
Lei Zhang
98
914
0
12 Jul 2018
DeepISP: Towards Learning an End-to-End Image Processing Pipeline
DeepISP: Towards Learning an End-to-End Image Processing Pipeline
Eli Schwartz
Raja Giryes
A. Bronstein
VLM
72
227
0
20 Jan 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
377
11,877
0
11 Jan 2018
Deep Image Prior
Deep Image Prior
Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
SupR
125
3,161
0
29 Nov 2017
The Perception-Distortion Tradeoff
The Perception-Distortion Tradeoff
Yochai Blau
T. Michaeli
SupR
126
815
0
16 Nov 2017
FFDNet: Toward a Fast and Flexible Solution for CNN based Image
  Denoising
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising
Peng Sun
W. Zuo
Lei Zhang
125
2,125
0
11 Oct 2017
Benchmarking Denoising Algorithms with Real Photographs
Benchmarking Denoising Algorithms with Real Photographs
Tobias Plötz
Stefan Roth
63
589
0
05 Jul 2017
Photo-Realistic Single Image Super-Resolution Using a Generative
  Adversarial Network
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
C. Ledig
Lucas Theis
Ferenc Huszár
Jose Caballero
Andrew Cunningham
...
Andrew P. Aitken
Alykhan Tejani
J. Totz
Zehan Wang
Wenzhe Shi
GAN
242
10,707
0
15 Sep 2016
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image
  Denoising
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Peng Sun
W. Zuo
Yunjin Chen
Deyu Meng
Lei Zhang
SupR
145
7,007
0
13 Aug 2016
A note on the evaluation of generative models
A note on the evaluation of generative models
Lucas Theis
Aaron van den Oord
Matthias Bethge
EGVM
131
1,146
0
05 Nov 2015
Microsoft COCO Captions: Data Collection and Evaluation Server
Microsoft COCO Captions: Data Collection and Evaluation Server
Xinlei Chen
Hao Fang
Nayeon Lee
Ramakrishna Vedantam
Saurabh Gupta
Piotr Dollar
C. L. Zitnick
215
2,489
0
01 Apr 2015
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