# PR-HFR

**Repository Path**: Junjiagit/PR-HFR

## Basic Information

- **Project Name**: PR-HFR
- **Description**: Physical-based Rendering for NIR-VIS Face Recognition
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-10-11
- **Last Updated**: 2025-10-16

## Categories & Tags

**Categories**: cv

**Tags**: None

## README

# Physical-based Rendering for NIR-VIS Face Recognition

by [Yunqi Miao*](https://yoqim.github.io/), [Alexandros Lattas*](https://alexlattas.com/), [Jiankang Deng](https://jiankangdeng.github.io/), [Jungong Han](https://jungonghan.github.io/), and [Stefanos Zafeiriou]().


For more information, please check our

**[[Arxiv]](https://arxiv.org/abs/2211.06408)**
**[[Paper]](https://arxiv.org/pdf/2211.06408.pdf)**

:bell: We are happy to announce that this work was accepted at **NeurIPS22**. 

If you find this project useful in your research, please consider citing:

```
@article{miao2022physically,
  title={Physically-Based Face Rendering for NIR-VIS Face Recognition},
  author={Miao, Yunqi and Lattas, Alexandros and Deng, Jiankang and Han, Jungong and Zafeiriou, Stefanos},
  journal={arXiv preprint arXiv:2211.06408},
  year={2022}
}
```

# Overview
![poster](pics/Poster.png)

# Training

For this project, we used python 3.7.10.

## How to run?

```shell
sh run.sh
```


# Testing
## Preparation
- Downloading data (112 x 112) from [[Google drive]](https://drive.google.com/file/d/1Smd-Bdwj4tCbNugmoa66vxnJAU613bCo/view?usp=sharing)
   - Put data to `data/$dataset_name` 

>Note that: casia(fold_1) is provided for research purposes only. For the rest data, please refer to the original publications.

 

- Downloading models from [[Google drive]](https://drive.google.com/file/d/1XjlnvbXmRD5xLJo7lLTy8LyQbMYRoz8C/view?usp=sharing)
    - Put pretrain model at `models/pretrain/`
    - Put finetune model at `models/finetune/$dataset/`


## How to run?

```shell
sh eval.sh
```