From 090e4d610e92056788a368ea62f4ffd56360a045 Mon Sep 17 00:00:00 2001
From: Xintao <wxt1994@126.com>
Date: Thu, 20 May 2021 11:08:58 +0800
Subject: [PATCH] update readme

---
 README.md    | 58 +++++++++++++++++++++++++++++++++++++++++++++++++++-
 README_CN.md | 58 +++++++++++++++++++++++++++++++++++++++++++++++++++-
 2 files changed, 114 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 106379c..525ba97 100644
--- a/README.md
+++ b/README.md
@@ -1,3 +1,59 @@
-# GFPGAN
+# GFPGAN (CVPR 2021)
 
 [English](README.md) **|** [简体中文](README_CN.md)
+
+[[Paper]](https://arxiv.org/abs/2101.04061) **|** [[Project Page]](https://xinntao.github.io/projects/gfpgan)
+
+GFPGAN is a blind face restoration algorithm towards real-world face images.
+
+> **GFP-GAN: Towards Real-World Blind Face Restoration with Generative Facial Prior**
+> [Xintao Wang](https://xinntao.github.io/), [Yu Li](https://yu-li.github.io/), [Honglun Zhang](https://scholar.google.com/citations?hl=en&user=KjQLROoAAAAJ), [Ying Shan](https://scholar.google.com/citations?user=4oXBp9UAAAAJ&hl=en)
+> Applied Research Center (ARC), Tencent PCG
+
+#### BibTeX
+
+    @InProceedings{wang2021gfpgan,
+    author = {Xintao Wang and Yu Li and Honglun Zhang and Ying Shan},
+    title = {Towards Real-World Blind Face Restoration with Generative Facial Prior},
+    booktitle={The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
+    year = {2021}
+    }
+
+<p align="center">
+  <img src="https://xinntao.github.io/projects/GFPGAN_src/gfpgan_teaser.jpg">
+</p>
+
+---
+
+## :wrench: Dependencies and Installation
+
+- Python >= 3.7 (Recommend to use [Anaconda](https://www.anaconda.com/download/#linux) or [Miniconda](https://docs.conda.io/en/latest/miniconda.html))
+- [PyTorch >= 1.7](https://pytorch.org/)
+- NVIDIA GPU + [CUDA](https://developer.nvidia.com/cuda-downloads)
+
+### Installation
+
+1. Clone repo
+
+    ```bash
+    git clone https://github.com/xinntao/GFPGAN.git
+    ```
+
+1. Install dependent packages
+
+    ```bash
+    cd GFPGAN
+    pip install -r requirements.txt
+    ```
+
+## :zap: Quick Inference
+
+> python inference_gfpgan_full.py --model_path experiments/pretrained_models/GFPGANv1.pth --test_path inputs
+
+## :scroll: License and Acknowledgement
+
+TODO
+
+## :e-mail: Contact
+
+If you have any question, please email `xintao.wang@outlook.com` or `xintaowang@tencent.com`.
diff --git a/README_CN.md b/README_CN.md
index 106379c..525ba97 100644
--- a/README_CN.md
+++ b/README_CN.md
@@ -1,3 +1,59 @@
-# GFPGAN
+# GFPGAN (CVPR 2021)
 
 [English](README.md) **|** [简体中文](README_CN.md)
+
+[[Paper]](https://arxiv.org/abs/2101.04061) **|** [[Project Page]](https://xinntao.github.io/projects/gfpgan)
+
+GFPGAN is a blind face restoration algorithm towards real-world face images.
+
+> **GFP-GAN: Towards Real-World Blind Face Restoration with Generative Facial Prior**
+> [Xintao Wang](https://xinntao.github.io/), [Yu Li](https://yu-li.github.io/), [Honglun Zhang](https://scholar.google.com/citations?hl=en&user=KjQLROoAAAAJ), [Ying Shan](https://scholar.google.com/citations?user=4oXBp9UAAAAJ&hl=en)
+> Applied Research Center (ARC), Tencent PCG
+
+#### BibTeX
+
+    @InProceedings{wang2021gfpgan,
+    author = {Xintao Wang and Yu Li and Honglun Zhang and Ying Shan},
+    title = {Towards Real-World Blind Face Restoration with Generative Facial Prior},
+    booktitle={The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
+    year = {2021}
+    }
+
+<p align="center">
+  <img src="https://xinntao.github.io/projects/GFPGAN_src/gfpgan_teaser.jpg">
+</p>
+
+---
+
+## :wrench: Dependencies and Installation
+
+- Python >= 3.7 (Recommend to use [Anaconda](https://www.anaconda.com/download/#linux) or [Miniconda](https://docs.conda.io/en/latest/miniconda.html))
+- [PyTorch >= 1.7](https://pytorch.org/)
+- NVIDIA GPU + [CUDA](https://developer.nvidia.com/cuda-downloads)
+
+### Installation
+
+1. Clone repo
+
+    ```bash
+    git clone https://github.com/xinntao/GFPGAN.git
+    ```
+
+1. Install dependent packages
+
+    ```bash
+    cd GFPGAN
+    pip install -r requirements.txt
+    ```
+
+## :zap: Quick Inference
+
+> python inference_gfpgan_full.py --model_path experiments/pretrained_models/GFPGANv1.pth --test_path inputs
+
+## :scroll: License and Acknowledgement
+
+TODO
+
+## :e-mail: Contact
+
+If you have any question, please email `xintao.wang@outlook.com` or `xintaowang@tencent.com`.