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https://github.com/xinge008/BridgeGAN

Code for our 3DV18 paper -- "Generative Adversarial Frontal View to Bird View Synthesis"
https://github.com/xinge008/BridgeGAN

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Code for our 3DV18 paper -- "Generative Adversarial Frontal View to Bird View Synthesis"

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## Generative Adversarial Front-view to Birdview Synthesis





Top: (Frontal View)

Left: (GroundTruth); Middle: (Ours); Right: (Homography)

### Descriptions
-------------------------
More detailed description about the paper can be found in the [slides](https://docs.google.com/presentation/d/162e71cFoRQijT50qgtjVBzttMCENavcTIH2efsDezFw/edit?usp=sharing).

Supplementary Materials can be found in this [link](http://zhuxinge.me/zxg_css/img/supply_bird.pdf)

### TODO List
-------------------------
- [x] Dataset
- [x] Code (Tuning)
- [x] Demo

### Dataset
-------------------------
We provide the pre-processed dataset, including the cropped frontal images, homography images and birdview images.
You can download it in this [URL](https://drive.google.com/open?id=15b9eU10Rlm6BcBf995WweBIhGbz8CSaw).

### Paper
-------------------------
```
@inproceedings{zhu2018generative,
title={Generative Adversarial Frontal View to Bird View Synthesis},
author={Zhu, Xinge and Yin, Zhichao and Shi, Jianping and Li, Hongsheng and Lin, Dahua},
booktitle={2018 International Conference on 3D Vision (3DV)},
pages={454--463},
year={2018},
organization={IEEE}
}
```

### Reference
-------------------------
We thanks for the open-source codebase -- [CoGAN](https://github.com/mingyuliutw/CoGAN) and [UNIT](https://github.com/mingyuliutw/UNIT).

### License
-------------------------
- the CC BY-NC-ND 4.0 license