iSeeBetter
a-PyTorch-Tutorial-to-Super-Resolution
| iSeeBetter | a-PyTorch-Tutorial-to-Super-Resolution | |
|---|---|---|
| 3 | 2 | |
| 348 | 542 | |
| - | - | |
| 0.0 | 2.7 | |
| almost 2 years ago | about 1 year ago | |
| C++ | Python | |
| MIT License | MIT License |
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iSeeBetter
- Upscale from 1080P to 4K with resolve free version.
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[D] Video Upscaling: Topaz Labs v.s. State of the Art
[Paper] https://arxiv.org/abs/2006.11161
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Video Upscaling: Topaz Labs v.s. State of the Art
[GitHub] https://github.com/amanchadha/iSeeBetter
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
What are some alternatives?
TecoGAN - This repo contains source code and materials for the TEmporally COherent GAN SIGGRAPH project.
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
Fast-SRGAN - A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
pytorch-gans - PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN
Image-Super-Resolution-via-Iterative-Refinement - Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
ACNetGLSL - ACNet (Anime4KCPP Net) re-implemented in GLSL for real-time anime upscaling
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.
FUnIE-GAN - Fast underwater image enhancement for Improved Visual Perception. #TensorFlow #PyTorch #RAL2020
AnimeGAN - Generating Anime Images by Implementing Deep Convolutional Generative Adversarial Networks paper
libopenshot - OpenShot Video Library (libopenshot) is a free, open-source project dedicated to delivering high quality video editing, animation, and playback solutions to the world. API currently supports C++, Python, and Ruby.