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cyqqq 9ea5fc460d | 2 years ago | |
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images | 2 years ago | |
models | 2 years ago | |
LICENSE | 2 years ago | |
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get_fft_feature.py | 2 years ago | |
ssd_gan.py | 2 years ago | |
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Pytorch implementation of our paper: "SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains".
pip install torch-mimicry
python train_cifar100.py
python train_stl10.py
python train_lsun.py
tensorboard --logdir=./log/YOUR_LOGDIR
python test --dataset cifar100 --log_dir ./log/cifar100
FID scores.
Generations of SSD-SNGAN trained on LSUN-bedroom at 128×128.
If this work is useful for your research, please consider citing :
@inproceedings{chen2020ssd,
title={SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains},
author={Chen, Yuanqi and Li, Ge and Jin, Cece and Liu, Shan and Li, Thomas},
booktitle={AAAI},
year={2021}
}
The code used in this research is based on mimicry.
Feel free to contact me if there is any questions (cyq373@pku.edu.cn).
SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains. AAAI2021.
Python
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