BSRGAN
Image super-resolver
A deep learning-based approach to super-resolution of degraded images.
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!
1k stars
37 watching
183 forks
Language: Python
last commit: 11 months ago
Linked from 2 awesome lists
blind-image-super-resolutionreal-image-super-resolutionrealsrsuper-resolution
Related projects:
Repository | Description | Stars |
---|---|---|
| Develops a single convolutional network to handle various image degradations with improved scalability and efficiency | 427 |
| A deep learning-based method to improve image quality by reducing blur effects | 839 |
| This project trains deep CNN denoisers to improve image restoration tasks such as deblurring and demosaicking through model-based optimization methods. | 602 |
| An enhanced deep learning framework for image super-resolution tasks using Generative Adversarial Networks and PyTorch. | 151 |
| An implementation of a deep learning model for single image super-resolution using a generative adversarial network | 487 |
| A PyTorch implementation of a deep learning model for super resolution | 194 |
| Unofficial PyTorch implementation of Zero-Shot Super Resolution using Deep Internal Learning from an image alone. | 201 |
| A deep learning-based super-resolution framework with improved perceptual accuracy and trade-off analysis tools | 80 |
| Software for enhancing satellite images through deep learning techniques | 76 |
| Tensorflow implementation of a generative adversarial network for single image super-resolution | 848 |
| A deep learning model designed to progressively restore degraded images by iteratively refining the degradation and its representation in the image | 1,197 |
| An implementation of a generative adversarial network (GAN) used to improve image quality through super-resolution | 39 |
| A collection of C# implementations of neural network image processing algorithms | 43 |
| A software framework for single image deblurring using recursive kernels | 14 |
| Software implementation of enhanced image restoration algorithm using Generative Adversarial Networks | 6,078 |