# KernelGAN

**Repository Path**: zongfang/KernelGAN

## Basic Information

- **Project Name**: KernelGAN
- **Description**: github在墙内经常会clone不下来，复制到这里方便clone
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-03-16
- **Last Updated**: 2022-03-16

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Blind Super-Resolution Kernel Estimation using an Internal-GAN
# "KernelGAN"
### Sefi Bell-Kligler, Assaf Shocher, Michal Irani 
*(Official implementation)*

Paper: https://arxiv.org/abs/1909.06581

Project page: http://www.wisdom.weizmann.ac.il/~vision/kernelgan/  

**Accepted NeurIPS 2019 (oral)**


## Usage:

### Quick usage on your data:  
To run KernelGAN on all images in <input_image_path>:

``` python train.py --input-dir <input_image_path> ```


This will produce kernel estimations in the results folder

### Extra configurations:  
```--X4``` : Estimate the X4 kernel

```--SR``` : Perform ZSSR using the estimated kernel

```--real``` : Real-image configuration (effects only the ZSSR)

```--output-dir``` : Output folder for the images (default is results)


### Data:
Download the DIV2KRK dataset: [dropbox](http://www.wisdom.weizmann.ac.il/~vision/kernelgan/DIV2KRK_public.zip)

Reproduction code for your own Blind-SR dataset: [github](https://github.com/assafshocher/BlindSR_dataset_generator)