a-PyTorch-Tutorial-to-Super-Resolution
pytorch-gans
| a-PyTorch-Tutorial-to-Super-Resolution | pytorch-gans | |
|---|---|---|
| 2 | 1 | |
| 542 | 20 | |
| - | - | |
| 2.7 | 0.0 | |
| about 1 year ago | about 2 years ago | |
| Python | Jupyter Notebook | |
| 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
pytorch-gans
What are some alternatives?
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
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
Fast-SRGAN - A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
pixel2style2pixel - Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
Image-Super-Resolution-via-Iterative-Refinement - Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
CycleGAN - Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
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.
PTI - Official Implementation for "Pivotal Tuning for Latent-based editing of Real Images" (ACM TOG 2022) https://arxiv.org/abs/2106.05744
AnimeGAN - Generating Anime Images by Implementing Deep Convolutional Generative Adversarial Networks paper
Pytorch
contrastive-unpaired-translation - Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)