- 5 Open-Source Deep Learning Python Tools for Imaging Super-Resolution (Article) https://dmitryelj.medium.com/5-open-source-deep-learning-tools-for-imaging-super-resolution-f42ddb396678 3 comments programming
Linking pages
Linked pages
- GitHub - alexjc/neural-enhance: Super Resolution for images using deep learning. https://github.com/alexjc/neural-enhance 51 comments
- GitHub - xinntao/ESRGAN: ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR. https://github.com/xinntao/ESRGAN 38 comments
- Medium https://medium.com/m/signin?isDraft=1&operation=login&redirect=https%3A%2F%2Fmedium.com%2F%40jamie_34747%2F79d382edf22b%3Fsource%3D 19 comments
- [1609.04802] Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network https://arxiv.org/abs/1609.04802 9 comments
- GitHub - xinntao/Real-ESRGAN: Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration. https://github.com/xinntao/Real-ESRGAN 2 comments
- [1603.07285] A guide to convolution arithmetic for deep learning https://arxiv.org/abs/1603.07285 0 comments
- GitHub - idealo/image-super-resolution: 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks. https://github.com/idealo/image-super-resolution 0 comments
- GitHub - Theano/Theano: Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as aesara: www.github.com/pymc-devs/aesara https://github.com/Theano/Theano 0 comments
- GitHub - XPixelGroup/BasicSR: Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet. https://github.com/XPixelGroup/BasicSR 0 comments
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