Pinned Repositories
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bicubic-interpolation-pytorch-version-the-same-results-with-matlab-imresize
A version of matlab function 'imresize' using 'bicubic' interpolation, realized by pytorch and could acclearte by cuda. So it can be plug in nerual networks . While many interpolation methods in python like scipy.misc.imresize and torch.nn.function.Upsample(interpolation) and so on. They outputs different results with the results on matlab version. And I will update an python version 'bicubic' using numpy as soon as possible. And of course it can not acclerate by cuda, resulting slower results.
EDSR-PyTorch
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
ESPCN
A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network"
FLSR
nehe-opengl
The complete archive of all NeHe OpenGL Lessons available at http://nehe.gamedev.net.
pytorch-vdsr
VDSR (CVPR2016) pytorch implementation
SinGAN
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
SRCNN
Tensorflow implementation of single image super-resolution using a Convolutional Neural Network
srcnn-1
A course project on convolutional neural networks for single image super-resolution
15732031137's Repositories
15732031137/-
15732031137/bicubic-interpolation-pytorch-version-the-same-results-with-matlab-imresize
A version of matlab function 'imresize' using 'bicubic' interpolation, realized by pytorch and could acclearte by cuda. So it can be plug in nerual networks . While many interpolation methods in python like scipy.misc.imresize and torch.nn.function.Upsample(interpolation) and so on. They outputs different results with the results on matlab version. And I will update an python version 'bicubic' using numpy as soon as possible. And of course it can not acclerate by cuda, resulting slower results.
15732031137/EDSR-PyTorch
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
15732031137/ESPCN
A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network"
15732031137/FLSR
15732031137/nehe-opengl
The complete archive of all NeHe OpenGL Lessons available at http://nehe.gamedev.net.
15732031137/pytorch-vdsr
VDSR (CVPR2016) pytorch implementation
15732031137/SinGAN
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
15732031137/SRCNN
Tensorflow implementation of single image super-resolution using a Convolutional Neural Network
15732031137/srcnn-1
A course project on convolutional neural networks for single image super-resolution
15732031137/SRCNN-Tensorflow
Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3
15732031137/SRGAN
A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
15732031137/srgan-1
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
15732031137/VDSR-Tensorflow
TensorFlow implementation of very deep convolution network for image super-resolution
15732031137/VDSR-Tensorflow-1
TensorFlow implementation of VDSR