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PyTorch implementation of 'DCGAN' (Radford et al., 2016) and training it on CelebA

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1. Pre-trained Model on CelebA 64 × 64

2. Sampling

1) "grid" mode

# e.g.,
python3 sample.py\
    --mode="grid"\
    --ckpt_path="/.../dcgan/dcgan_celeba.pth"\
    --batch_size=100\
    --n_iters=10\
    --n_cpus=0 # Optional

2) "interpolation" mode

# e.g.,
python3 sample.py\
    --mode="interpolation"\
    --ckpt_path="/.../dcgan/dcgan_celeba.pth"\
    --n_cells=10\
    --n_iters=10\
    --n_cpus=0 # Optional

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PyTorch implementation of 'DCGAN' (Radford et al., 2016) and training it on CelebA

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