Awesome
Forbes (ECCV2024)
Jintae Kim, Seungwon Yang, Seong-Gyun Jeong, and Chang-Su Kim
Official code for "Forbes: Face Obfuscation Rendering via Backpropagation Refinement Scheme"[paper]
Requirements
- PyTorch 1.13.1
- CUDA 11.6
- python 3.8
Installation
Download repository:
$ git clone https://github.com/mcljtkim/Forbes.git
Create conda environment:
$ cd env
$ sh create_env.sh
Download AdaFace pre-trained model parameters from (https://github.com/mk-minchul/AdaFace).
Direct link to the parameters: pre-trained model.
Generate two folders and put the weights to the "weights" folder.
$ mkdir output
$ mkdir weights
Quick Usage
Generate an output image
$ python demo.py --img_path image_path/input_image.png
Citation
Please cite the following paper if you feel this repository useful.
@inproceedings{kim2024Forbes,
author = {Kim, Jintae and Yang, Seungwon and Jeong, Seong-Gyun and Kim, Chang-Su},
title = {Forbes: Face Obfuscation Rendering via Backpropagation Refinement Scheme},
booktitle = {Eur. Conf. Comput. Vis.},
year = {2024}
}