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SNGAN-AdaBelief
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Train SN-GAN with AdaBelief
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SNGAN-AdaBelief
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## SNGAN-AdaBelief Train a state-of-the-art spectral normalization GAN with AdaBelief https://github.com/juntang-zhuang/Adabelief-Optimizer ### Acknowledgement This repo is forked from ```PyTorch-StudioGAN``` github repository, with the only difference in optimizer. ### Dependencies ``` pip install adabelief-pytorch==0.0.5 ``` For other dependencies, see https://github.com/POSTECH-CVLab/PyTorch-StudioGAN/blob/master/environment.yml ### How to run ``` python main.py -t -e -c configs/CIFAR10/SNGAN-adabelief.json ``` You can modify parameters ```epsilon``` and ```rectify``` in ```load_framwork.py``` https://github.com/juntang-zhuang/SNGAN-AdaBelief/blob/master/load_framework.py#L135 ### Results Results for Adam is directly taken from the training log of official implementation https://github.com/POSTECH-CVLab/PyTorch-StudioGAN/blob/c98d0e94d98a97e14165bd42bd1416027cf78f4d/logs/CIFAR10/SNGAN-train-2020_09_18_14_37_00.log | | Adam | AdaBelief (eps = 1e-12, rectify=False) | |:---:|-------|-----------| | FID | 13.25 | 12.87 | 