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MIT License | ||
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Copyright (c) 2021 Xiaoyu Xiang | ||
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Permission is hereby granted, free of charge, to any person obtaining a copy | ||
of this software and associated documentation files (the "Software"), to deal | ||
in the Software without restriction, including without limitation the rights | ||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | ||
copies of the Software, and to permit persons to whom the Software is | ||
furnished to do so, subject to the following conditions: | ||
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The above copyright notice and this permission notice shall be included in all | ||
copies or substantial portions of the Software. | ||
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | ||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | ||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE | ||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | ||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | ||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE | ||
SOFTWARE. |
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# AODA (under construction) | ||
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By [Xiaoyu Xiang](https://engineering.purdue.edu/people/xiaoyu.xiang.1), [Ding Liu](https://scholar.google.com/citations?user=PGtHUI0AAAAJ), [Xiao Yang](https://scholar.google.com/citations?user=_MAKSLkAAAAJ&hl=en), [Yiheng Zhu](https://www.etc.cmu.edu/blog/author/yihengz/), [Xiaohui Shen](https://xiaohuishen.github.io/), [Jan P. Allebach](https://engineering.purdue.edu/~allebach/) | ||
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This is the official Pytorch implementation of *Adversarial Open Domain Adaption for Sketch-to-Photo Synthesis*. | ||
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#### [Paper](https://arxiv.org/abs/2104.05703) | ||
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## Updates | ||
- 2021.4.15: Create the repo | ||
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## Introduction | ||
The repository contains the entire project (including all the preprocessing) for our open domain sketch-to-photo synthesis. Currently it is still under construction. | ||
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## Prerequisites | ||
- Linux or macOS | ||
- Python 3 (Recommend to use [Anaconda](https://www.anaconda.com/download/#linux)) | ||
- CPU or NVIDIA GPU + CUDA CuDNN | ||
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## Get Started | ||
### Installation | ||
Install the required packages: ```pip install -r requirements.txt``` | ||
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### Download Pretrained Weights | ||
Please download the weights from [GoogleDrive], and put it into the [weights/](weights/) folder. | ||
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## Contact | ||
[Xiaoyu Xiang](https://engineering.purdue.edu/people/xiaoyu.xiang.1). | ||
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You can also leave your questions as issues in the repository. I will be glad to answer them! | ||
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## License | ||
This project is released under the [MIT License](LICENSE). | ||
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## Citations | ||
```BibTex | ||
@misc{xiang2021adversarial, | ||
title={Adversarial Open Domain Adaption for Sketch-to-Photo Synthesis}, | ||
author={Xiang, Xiaoyu and Liu, Ding and Yang, Xiao and Zhu, Yiheng and Shen, Xiaohui and Allebach, Jan P}, | ||
year={2021}, | ||
eprint={2104.05703}, | ||
archivePrefix={arXiv}, | ||
primaryClass={cs.CV} | ||
} | ||
``` |
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