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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
Research output
:
Contribution to journal
›
Conference article
›
peer-review
367
Citations (Scopus)
Overview
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Dive into the research topics of 'CycleISP: Real image restoration via improved data synthesis'. Together they form a unique fingerprint.
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Keyphrases
Synthetic Data
100%
Real Image
100%
Data Synthesis
100%
Image Reconstruction
100%
Additive White Gaussian Noise
66%
Benchmark Dataset
66%
Image Denoising
66%
Denoising
66%
Imaging pipeline
66%
Denoising Problems
66%
Camera Imaging
66%
Signal-dependent
33%
Camera Image
33%
Training Model
33%
Large-scale Dataset
33%
Art Performance
33%
Convolutional Neural Network
33%
Reverse Direction
33%
Deep Convolutional Neural Network (deep CNN)
33%
Source Code
33%
Image Denoising Algorithm
33%
Denoising Network
33%
Single Image Denoising
33%
Stereoscopic Cinema
33%
Camera Noise
33%
Color Matching
33%
Image Pair
33%
Computer Science
image denoising
100%
Data Synthesis
100%
Image Restoration
100%
Additive White Gaussian Noise
50%
de-noising
50%
Synthetic Data
50%
Denoising Problem
50%
Synthetic Datasets
25%
Art Performance
25%
Convolutional Neural Network
25%
Deep Convolutional Neural Networks
25%
Pre-Trained Model
25%
Reverse Direction
25%
Forward Direction
25%