kervolution VS Fast-SRGAN

Compare kervolution vs Fast-SRGAN and see what are their differences.

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kervolution Fast-SRGAN
1 -
38 638
- -
0.0 0.0
almost 4 years ago about 2 months ago
Python Python
GNU General Public License v3.0 only MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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kervolution

Posts with mentions or reviews of kervolution. We have used some of these posts to build our list of alternatives and similar projects.

Fast-SRGAN

Posts with mentions or reviews of Fast-SRGAN. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Fast-SRGAN yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing kervolution and Fast-SRGAN you can also consider the following projects:

quaterion - Blazing fast framework for fine-tuning similarity learning models

a-PyTorch-Tutorial-to-Super-Resolution - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

awesome-colab-notebooks - Collection of google colaboratory notebooks for fast and easy experiments

iSeeBetter - iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

super-resolution - Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

CleanTF2plus - Clean TF2's sequel

EDSR_Tensorflow - TensorFlow implementation of 'Enhanced Deep Residual Networks for Single Image Super-Resolution'.

EGVSR - Efficient & Generic Video Super-Resolution

co-mod-gan - [ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

data-efficient-gans - [NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

SRGAN - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

SinGAN - Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"