# AdversarialTexture

**Repository Path**: huimam/AdversarialTexture

## Basic Information

- **Project Name**: AdversarialTexture
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-04-20
- **Last Updated**: 2022-12-05

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# AdversarialTexture
Adversarial Texture Optimization from RGB-D Scans (CVPR 2020).

![AdversarialTexture Teaser](https://github.com/hjwdzh/AdversarialTexture/raw/master/res/teaser.png)

### Scanning Data Download
Please refer to [**data**](https://github.com/hjwdzh/AdversarialTexture/raw/master/data/) directory for details.

Before run following scripts, please modify the data_path in src/config.py as the absolute path of the data folder (e.g. Adversarial/data) where you download all data.

### Prepare for Training (Optimization)
Please refer to [**src/preprocessing**](https://github.com/hjwdzh/AdversarialTexture/raw/master/src/preprocessing) directory for details.

### Run Training (Optimization)
Consider execute run_all.sh in parallel.
```
cd src/textureoptim
python gen_script.py
sh run_all.sh
```

### Result Visualization
The result will be stored in data/result/chairID/chairID.png. You can use them to replace the corresponding default texture in data/shape, and use meshlab to open obj files to see the results.

Alternatively, we provide a simple script to render results. You will be able to see the rendering comparison in data/visual.
```
cd src
python visualize.py
```

## Authors
- [Jingwei Huang](mailto:jingweih@stanford.edu)

© Jingwei Huang, Stanford University

**IMPORTANT**: If you use this code please cite the following in any resulting publication:
```
@inproceedings{huang2020adversarial,
  title={Adversarial Texture Optimization from RGB-D Scans},
  author={Huang, Jingwei and Thies, Justus and Dai, Angela and Kundu, Abhijit and Jiang, Chiyu and Guibas, Leonidas J and Niessner, Matthias and Funkhouser, Thomas},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={1559--1568},
  year={2020}
}
```
The rendering process is a modification of [**pyRender**](https://github.com/hjwdzh/pyRender).



----

### Address

此仓库Fork于[Github](https://github.com/hjwdzh/AdversarialTexture)