sewar
esrgan
sewar | esrgan | |
---|---|---|
1 | 1 | |
570 | 131 | |
- | 0.0% | |
5.9 | 10.0 | |
8 months ago | over 1 year ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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sewar
esrgan
-
Comparison between different samplers in Stable Diffusion (warning, large resolution image)
pip install git+https://github.com/leverxgroup/esrgan.git
What are some alternatives?
image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
super-image - Image super resolution models for PyTorch.
text2image-gui - Somewhat modular text2image GUI, initially just for Stable Diffusion
DeepSIM - Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)
Deep-Exemplar-based-Video-Colorization - The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".
StyleSwin - [CVPR 2022] StyleSwin: Transformer-based GAN for High-resolution Image Generation
Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline
pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs