#
sisr
Here are 24 public repositories matching this topic...
Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)
super-resolution
deblurring
sisr
gaussian-kernel
end-to-end-learning
degradation-model
motion-kernel
bicubic-kernels
noise-levels
blur-kernels
scale-factors
unfolding-algorithm
generalizability
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Nov 25, 2021 - Python
A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
neural-network
tensorflow
cnn
tf2
artificial-intelligence
generative-adversarial-network
tensorboard
gans
super-resolution
srgan
sisr
upsample
residual-blocks
single-image-super-resolution
tf-keras
resolution-image
fastsrgan
realtime-super-resolution
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May 24, 2022 - Python
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)
deep-learning
matlab
regression
cnn
matconvnet
super-resolution
denoising
sisr
image-degradation
non-blind
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Oct 9, 2021 - MATLAB
动漫图片超分辨率(SISR)——基于WDSR (2019-4-30)
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Mar 15, 2021 - Python
Code repo for "Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution" (CVPRW NTIRE2020).
deep-neural-networks
super-resolution
convex-optimization
real-world
residual-learning
sisr
discriminative-learning
cvpr2020
ntire2020
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Jun 16, 2021 - Python
A Novel Approach to Video Super-Resolution using Frame Recurrence and Generative Adversarial Networks | Python3 | PyTorch | OpenCV2 | GANs | CNNs
python
opencv
cnn
python3
pytorch
generative-adversarial-network
gan
convolutional-neural-networks
gans
ssim
super-resolution
psnr
srgan
sisr
cnns
recurrent-neural-network
video-super-resolution
adjacent-frames
frame-recurrence
frvsr-gan
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Oct 12, 2021 - Python
My implementaion of super-resolution based on dual-path networks. It can be used directly to reconstruct your low-resolution image to high-resolution. Also, you can use your dataset to train your networks
image-reconstruction
tensorflow
cnn
deep-learning-algorithms
high-resolution
super-resolution
sisr
dpn
dual-path-networks
low-resolution
image-recovery
srdpns
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Jul 19, 2018 - Python
awesome super resoluiton paper collections w/o code including paper citation
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Jul 19, 2019
A Keras implementation of a SISR (Single-Image Super-Resolution) Residual-CNN.
keras
image-processing
cnn
super-resolution
keras-models
keras-neural-networks
cnn-keras
sisr
image-resolution
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Sep 10, 2019 - Python
lots of single image super resolution model implementations in tensorflow
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Oct 7, 2019 - Python
Graduation Project. Applying Generative Adversarial Networks(GAN) with Residual-In-Residual(RIR) blocks.
computer-vision
deep-learning
tensorflow
optimization
numpy
keras
image-processing
generative-adversarial-network
gan
pattern-recognition
matplotlib
rir
super-resolution
vgg19
graduation-project
sisr
skimage
residual-blocks
skip-connections
accuracies
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Jun 20, 2019 - Python
Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019) in pytorch
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Mar 12, 2022 - Python
A solution of SISR that merges the ideas of SRGAN and Edge Informed SISR. This solution was presented on 1st SpainAI hackathon obtain 4th position.
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Apr 1, 2021 - Python
Super resolution
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Nov 4, 2019 - Jupyter Notebook
This repository contains source code implementation of assignments for NTU's MSAI course AI6126 on Advanced Computer Vision (2020 Sem 1).
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Dec 14, 2020 - Jupyter Notebook
This repository contains an Image Upscaling project using a Generative Adversarial Network (GAN) model.
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Apr 4, 2021 - Python
Single image super resolution
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Aug 16, 2020 - Jupyter Notebook
Implementations of common models used for Image Super Resolution
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Feb 13, 2022 - Python
Single Image Super-Resolution in Tensorflow using GAN. Implementation of https://arxiv.org/abs/1609.04802.
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Jul 25, 2020 - Python
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