#
super-resolution
Here are 641 public repositories matching this topic...
A High-Quality Real Time Upscaler for Anime Video
video
anime
computer-graphics
cnn
video-processing
neural-networks
convolutional-neural-networks
upsampling
super-resolution
upscaling
denoising-algorithms
anime4k
anime-upscaling
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Oct 30, 2021 - Jupyter Notebook
Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
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Updated
Nov 1, 2021 - Python
Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, SRMD, RealSR, Anime4K, RIFE, CAIN, DAIN, and ACNet.
video
anime
vulkan
waifu2x
video-processing
super-resolution
image-enlarger
noise-reduction
upscaling
ncnn
frame-interpolation
video-super-resolution
video-interpolation
video-enlarger
video-frame-interpolation
esrgan
dain
anime4k
waifu2x-ncnn-vulkan
realsr
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Updated
Nov 17, 2021 - C++
PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, wav2lip, picture repair, image editing, photo2cartoon, image style transfer, and so on.
resolution
image-editing
gan
image-generation
pix2pix
super-resolution
cyclegan
motion-transfer
psgan
first-order-model
wav2lip
photo2cartoon
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Updated
Nov 18, 2021 - Python
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
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Updated
Oct 22, 2021 - 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
Oct 20, 2021 - Python
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
Nov 13, 2021 - Python
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
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Updated
Dec 1, 2020 - Python
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.
pytorch
super-resolution
srgan
restoration
edsr
srresnet
rcan
esrgan
edvr
basicsr
stylegan2
dfdnet
basicvsr
swinir
ecbsr
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Updated
Nov 11, 2021 - Python
ckkelvinchan
commented
Jul 7, 2021
We are building Chinese Documentation now, PRs of translation from the community are welcomed.
To make the community fully aware of the progress, we list the progress here. Please feel free to leave a message and create a PR if you are willing to translate any one of the documentation.
- docs/changelog.md @kai422
- docs/config.md @AlexZou14
- docs/config_generation.md @ckkelv
Open
Reading data from S3
14
7
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
Jun 10, 2021
Unoffical implementation about Image Super-Resolution via Iterative Refinement by Pytorch
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Updated
Nov 18, 2021 - Python
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
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Updated
May 30, 2021 - Jupyter Notebook
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
Oct 9, 2021 - MATLAB
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
Nov 18, 2021 - Python
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)
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Updated
Sep 3, 2020 - Python
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
Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)
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Updated
Aug 21, 2021 - 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
Oct 7, 2021 - Python
Benchmark and resources for single super-resolution algorithms
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Updated
Aug 19, 2020
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
Sep 5, 2021 - Python
Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch
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Updated
Oct 14, 2021 - Jupyter Notebook
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
Oct 18, 2020 - Python
Efficient & Generic Video Super-Resolution
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Updated
Jul 14, 2021 - 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
Oct 9, 2021 - Python
Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"
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Updated
Jan 6, 2018 - Lua
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Can you please add some performance numbers to the main project docs indicating inference latency running some common hardware options e.g. AWS p2, GCP gpu instance, CPU inference, Raspbery pi, etc.