Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution
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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
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.
Improving Deep Learning accuracy using Generative Adversarial Networks (GANs). Implemented in PyTorch
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.
Image and Video Super Resolution
Simple inference codes for Neural Network (AI) models
使用PaddlePaddle复现Real-ESRGAN
This is the PyTorch implementation of ESRGAN .
Simple realization of papers in oppo Research Institute super score competition.
A simple streamlit based webapp showcasing Image Super Resolution using ESRGAN
Medal of Honor Allied Assault automated textures upscaling based on ESRGAN
A Real-ESRGAN model trained on a custom dataset
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
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