a-PyTorch-Tutorial-to-Super-Resolution
Fast-SRGAN
| a-PyTorch-Tutorial-to-Super-Resolution | Fast-SRGAN | |
|---|---|---|
| 2 | - | |
| 542 | 638 | |
| - | - | |
| 2.7 | 0.0 | |
| about 1 year ago | about 2 months ago | |
| Python | Python | |
| MIT License | MIT License |
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a-PyTorch-Tutorial-to-Super-Resolution
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What subjects in Python do you need to know to tackle Artificial Intelligence?
Image upscaling might be a good goal to work towards first, and there are probably lots of good tutorials on it. You can follow a tutorial and Google anything from the tutorial that you don't understand. Here's one I found that looks helpful at first glance, and it includes working code: https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Super-Resolution
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I have dozens of blurred images cropped from a custom YOLOv3 detection - What GAN can I use to reconstruct a single superior image?
Hi try to give a look at image super resolution task https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Super-Resolution . This is the first result from google. Of course the quality of the results could depend on your data (domain shift). In that case grab high quality images from internet, lower their quality and do fine tuning of the selected model
Fast-SRGAN
We haven't tracked posts mentioning Fast-SRGAN yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
awesome-colab-notebooks - Collection of google colaboratory notebooks for fast and easy experiments
Image-Super-Resolution-via-Iterative-Refinement - Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
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
mmagic - OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.
super-resolution - Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
AnimeGAN - Generating Anime Images by Implementing Deep Convolutional Generative Adversarial Networks paper
CleanTF2plus - Clean TF2's sequel
EDSR_Tensorflow - TensorFlow implementation of 'Enhanced Deep Residual Networks for Single Image Super-Resolution'.
pytorch-gans - PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN
EGVSR - Efficient & Generic Video Super-Resolution