Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution
-
Updated
Jun 2, 2019 - Python
Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution
A TensorFlow implementation of ESRGAN
lots of single image super resolution model implementations in tensorflow
Setup scripts for ESRGAN/MXNet image/video upscaling in VapourSynth
Quake 2 textures upscaled using ESRGAN and the Manga109Attempt model
Tensorflow 2.0 implementation of ESRGAN
AI Video Processing/Upscaling With VapourSynth in Google Colab
Fork of Basic Super-Resolution codes for development. Includes ESRGAN, SFT-GAN for training and testing.
Enhance low-res images with enhanced super resolution ESRGAN.
Extraction, Verification and Masking of Aadhaar UIDs from photos and scanned documents.
Improving Deep Learning accuracy using Generative Adversarial Networks (GANs). Implemented in PyTorch
SRCNN_SRGAN_ESRGAN_ON_BRAIN_MRI
In a nutshell, the aim of this project is to improve the resolution of your images using ML based image processing techniques
Repository for (Un)Clear SoC Project, done in the Summer of 2021.
🔥 Real-time Super Resolution enhancement (4x) with content loss and relativistic adversarial optimization 🔥
When photographing a light source with a smartphone camera, light smudging often occurs. Our model contributes to improving the image quality degraded by the spread of light around the light source.
Add a description, image, and links to the esrgan topic page so that developers can more easily learn about it.
To associate your repository with the esrgan topic, visit your repo's landing page and select "manage topics."