PLKSR: Partial Large Kernel CNNs for Efficient Super-Resolution

This repository is an official implementation of the paper "Partial Large Kernel CNNs for Efficient Super-Resolution", Arxiv, 2024.

by Dongheon Lee, Seokju Yun, and Youngmin Ro

[paper] [pretrained models]

Updates

Installation

git clone https://github.com/dslisleedh/PLKSR.git
cd PLKSR
conda create -n plksr python=3.10
conda activate plksr
conda install pytorch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0 pytorch-cuda=12.1 -c pytorch -c nvidia
pip install -r requirements.txt
python setup.py develop

Train

python plksr/train.py -opt=$CONFIG_PATH

Test

python plksr/test.py -opt=$CONFIG_PATH

Results

Acknowledgement

This work is released under the MIT license. The codes are based on BasicSR. Thanks for their awesome works.

Contact

If you have any questions, please contact dslisleedh@gmail.com