#
vdsr
Here are 15 public repositories matching this topic...
Super Resolution datasets and models in Pytorch
-
Updated
Jul 15, 2021 - Python
Implementate super resolution in deep learning
-
Updated
May 17, 2017 - Python
A DagNN Matconvnet training implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Networks," CVPR, 2016.
-
Updated
May 2, 2017 - MATLAB
Torch implementation of the VDSR-CNN Upscaling algorithm
neural-network
cnn
torch
convolutional-neural-networks
torch7
super-resolution
torch-vdsr
vdsr-algorithm
vdsr
upscaling
srcnn
-
Updated
Feb 16, 2017 - Lua
TensorFlow implementation of VDSR
-
Updated
Sep 8, 2021 - Python
A tensorflow implementation of VDSR with PReLU
-
Updated
Mar 23, 2018 - Python
VDSR implementation with PyTorch and Tensorflow 2
-
Updated
May 2, 2020 - Python
TensorFlow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Network" (CVPR 2016)
python
machine-learning
computer-vision
deep-learning
image-reconstruction
tensorflow
machine-learning-algorithms
image-processing
cnn
deeplearning
convolutional-neural-networks
super-resolution
cvpr
vdsr-algorithm
vdsr
superresolution
image-enhancement
cvpr16
single-image-super-resolution
cvpr2016
-
Updated
May 9, 2019 - Python
Replicated Results of Super Resolution Papers
-
Updated
Aug 4, 2019 - Python
Single Image Super Resolution using VDSR and ResNeXt
-
Updated
Apr 26, 2018 - Python
Accurate Image Super-Resolution Using Very Deep Convolutional Networks (a.k.a VDSR) implementation using TensorFlow
-
Updated
Jun 25, 2020 - Python
VDSR for Face Images_Keras
-
Updated
Dec 7, 2018 - Python
Improve this page
Add a description, image, and links to the vdsr topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the vdsr topic, visit your repo's landing page and select "manage topics."