osediff's Introduction

One-Step Effective Diffusion Network for Real-World Image Super-Resolution

Rongyuan Wu^1,2,* Lingchen Sun^1,2,* Zhiyuan Ma^1,* Lei Zhang^1,2,†

¹The Hong Kong Polytechnic University, ²OPPO Research Institute

[paper]

🔥 News

[2024.07] Release OSEDiff-SD21base.
[2024.06] This repo is created.

🎬 Overview

🔧 Dependencies and Installation

Clone repo

git clone https://github.com/cswry/OSEDiff.git
cd OSEDiff

Install dependent packages

conda create -n OSEDiff python=3.10 -y
conda activate OSEDiff
pip install --upgrade pip
pip install -r requirements.txt

Download Models

Dependent Models

⚡ Quick Inference

python test_osediff.py \
-i preset/datasets/test_dataset/input \
-o preset/datasets/test_dataset/output \
--osediff_path preset\models\osediff.pkl \
--pretrained_model_name_or_path SD21BASE_PATH \
--ram_ft_path DAPE_PATH \
--ram_path RAM_PATH

📷 Results

Quantitative Comparisons (click to expand)

Visual Comparisons (click to expand)

📧 Contact

If you have any questions, please feel free to contact: [email protected]

🎓Citations

@article{wu2024one,
  title={One-Step Effective Diffusion Network for Real-World Image Super-Resolution},
  author={Wu, Rongyuan and Sun, Lingchen and Ma, Zhiyuan and Zhang, Lei},
  journal={arXiv preprint arXiv:2406.08177},
  year={2024}
}

statistics

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