Fast-SRGAN VS co-mod-gan

Compare Fast-SRGAN vs co-mod-gan and see what are their differences.

Fast-SRGAN

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps (by HasnainRaz)
sisr single-image-super-resolution super-resolution srgan fastsrgan realtime-super-resolution Tensorflow Tf2 tf-keras Gans Cnn upsample resolution-image residual-blocks Tensorboard Artificial intelligence neural-network generative-adversarial-network
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co-mod-gan

[ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks (by zsyzzsoft)
image-completion image-inpainting image-to-image-translation iclr2021 Gans Tensorflow generative-adversarial-network
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Fast-SRGAN co-mod-gan
- 1
642 431
- -
0.0 1.8
2 months ago over 2 years ago
Python Python
MIT License GNU General Public License v3.0 or later
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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.

co-mod-gan

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

What are some alternatives?

When comparing Fast-SRGAN and co-mod-gan you can also consider the following projects:

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

DeepCreamPy - Decensoring Hentai with Deep Neural Networks

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

generative-inpainting-pytorch - A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)

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

ContraD - Code for the paper "Training GANs with Stronger Augmentations via Contrastive Discriminator" (ICLR 2021)

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

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

CleanTF2plus - Clean TF2's sequel

edge-connect - EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

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

TFill - [CVPR 2022]: Bridging Global Context Interactions for High-Fidelity Image Completion

Fast-SRGAN vs a-PyTorch-Tutorial-to-Super-Resolution co-mod-gan vs DeepCreamPy Fast-SRGAN vs awesome-colab-notebooks co-mod-gan vs generative-inpainting-pytorch Fast-SRGAN vs iSeeBetter co-mod-gan vs ContraD Fast-SRGAN vs super-resolution co-mod-gan vs pix2pixHD Fast-SRGAN vs CleanTF2plus co-mod-gan vs edge-connect Fast-SRGAN vs EDSR_Tensorflow co-mod-gan vs TFill