#
super-resolution
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Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
animation
gan
official
super-resolution
harmonization
single-image-super-resolution
single-image
singan
image-edit
single-image-animation
single-image-generation
arbitrery-sizes
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Updated
Mar 11, 2020 - Python
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
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Updated
May 10, 2020 - Python
Image, GIF and Video enlarger/upscaler(super-resolution) achieved with Waifu2x, SRMD, RealSR, Anime4K and ACNet.
anime
vulkan
waifu2x
video-processing
super-resolution
image-enlarger
noise-reduction
multi-gpu
upscaling
ncnn
video-enlarger
srmd
anime4k
waifu2x-ncnn-vulkan
waifu2x-converter
gif-enlarger
srmd-ncnn-vulkan
anime4kcpp
realsr
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Updated
Aug 17, 2020 - C++
docker
aws
machine-learning
computer-vision
deep-learning
neural-network
tensorflow
keras
image-processing
e-commerce
convolutional-neural-networks
nvidia-docker
super-resolution
image-super-resolution
idealo
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Updated
Aug 6, 2020 - Python
OpenMMLab Image and Video Editing Toolbox
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Updated
Aug 6, 2020 - Python
A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley 2, 2018.
python
machine-learning
video
vulkan
waifu2x
qt5
super-resolution
waifu2x-converter-cpp
upscaling
neuronal-network
waifu2x-caffe
ncnn
video-enlarger
srmd
anime4k
waifu2x-ncnn-vulkan
srmd-ncnn-vulkan
anime4kcpp
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Updated
Aug 10, 2020 - Python
Awesome GAN for Medical Imaging
detection
medical-imaging
registration
generative-adversarial-network
gan
segmentation
deeplearning
reconstruction
super-resolution
ct-denoising
medical-image-synthesis
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Updated
Feb 5, 2020
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
pytorch
matconvnet
super-resolution
image-denoising
residual-learning
keras-tensorflow
jpeg-deblocking
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Updated
Jun 28, 2020 - MATLAB
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
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Updated
Feb 20, 2020 - Jupyter Notebook
Trainable models and NN optimization tools
sparsity
computer-vision
deep-learning
tensorflow
detection
pytorch
text-recognition
ssd
segmentation
face-recognition
text-detection
quantization
super-resolution
openvino
neural-networks-compression
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Updated
Aug 13, 2020 - Python
Benchmark and resources for single super-resolution algorithms
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Updated
Mar 31, 2018
Tensorflow implementation of the SRGAN algorithm for single image super-resolution
deep-learning
tensorflow
cnn
generative-adversarial-network
pretrained-models
super-resolution
vgg19
srgan
tf-slim
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Updated
Jun 29, 2020 - Python
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)
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Updated
Apr 9, 2020 - Python
A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.
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Updated
Mar 5, 2020 - Python
Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018
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Updated
Apr 27, 2020 - Python
A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
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Updated
May 23, 2020 - Python
Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"
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Updated
Jan 6, 2018 - Lua
Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3
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Updated
Oct 27, 2019 - Python
A Python implementation of RAISR
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Updated
Jun 13, 2020 - Python
Image Restoration Toolbox (PyTorch). Training and testing codes for USRNet, DnCNN, FFDNet, SRMD, DPSR, MSRResNet, ESRGAN, IMDN
model-zoo
pytorch
toolbox
super-resolution
image-restoration
activations
denoising
dncnn
sisr
srmd
flops
esrgan
usrnet
ffdnet
dpsr
testsets
trainsets
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Updated
Aug 10, 2020 - Python
The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)
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Updated
Jul 6, 2020 - Python
Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)
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Updated
Aug 9, 2019 - Lua
Tensorflow implementation of pixel-recursive-super-resolution(Google Brain paper: https://arxiv.org/abs/1702.00783)
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Updated
May 7, 2019 - 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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Updated
Apr 20, 2020 - Python
Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)
video
pytorch
super-resolution
cvpr
spatio-temporal
video-super-resolution
video-frame-interpolation
cvpr2020
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Updated
Jul 22, 2020 - Python
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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Updated
Aug 15, 2020 - Python
Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution
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Updated
Mar 20, 2019 - 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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Dec 18, 2019 - MATLAB
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