#
super-resolution
Here are 506 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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Mar 14, 2021 - GLSL
Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, SRMD, RealSR, Anime4K, RIFE, CAIN, DAIN and ACNet.
anime
vulkan
waifu2x
video-processing
super-resolution
image-enlarger
noise-reduction
multi-gpu
upscaling
ncnn
frame-interpolation
video-interpolation
video-enlarger
video-frame-interpolation
dain
anime4k
waifu2x-ncnn-vulkan
anime4kcpp
realsr
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Updated
Mar 17, 2021 - C++
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
Jan 19, 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
Mar 14, 2021 - Python
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
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Updated
Dec 1, 2020 - Python
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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Mar 17, 2021 - Python
7
dadada101
commented
Jan 28, 2021
hi,
when I run the mmediting/tools/preprocess_comp1k_dataset.py script,it report "Process finished with exit code 137 (interrupted by signal 9: SIGKILL)". It seems due to the out of memory error in https://github.com/open-mmlab/mmediting/blob/941e79b02f1860c2925cc6b84f802b1d94b816de/tools/preprocess_comp1k_dataset.py#L169 . Have you encountered it?Isearched the issues, but found nobody reporte
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, etc. Also support StyleGAN2, DFDNet.
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Updated
Mar 16, 2021 - 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 4, 2021
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
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Updated
Dec 18, 2020 - 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
Sep 5, 2020 - 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
Mar 17, 2021 - 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
Benchmark and resources for single super-resolution algorithms
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Updated
Aug 19, 2020
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)
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Updated
Sep 3, 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
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
Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018
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Updated
Apr 27, 2020 - Python
Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"
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Updated
Jan 6, 2018 - Lua
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
Dec 10, 2020 - Python
Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch
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Updated
Feb 2, 2021 - Jupyter Notebook
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
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
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
Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)
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Updated
Mar 6, 2021 - Python
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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.