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[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

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Hi @kwotsin! Awesome work with this repo! Would it be possible for you to release the pre-trained discriminators too?

question

Hi, thanks for the excellent work. But I noticed that the test set is not available for evaluation, because you don't specify the `split` argument in the metrics functions. I...

enhancement

Hi~ thanks for your great contribution! I have a question for the implementation of `Dblock` and `DBlockOptimized`. When I was trying to visualize the spectral norm of some layers, I...

help wanted

Hi, thank you for your contributions! I found this repo really easy to follow. However, when I called `mmc.metrics.evaluate` to evaluate FID score, it turns out that the path to...

enhancement

Hi! Thank you for your great contribution to this repo. Actually I found it really convenient to reproduce various GANs with the help of `mimicry`. However, when I read the...

enhancement

I haven't tested whether this library works on Windows and Mac OS machines, and so will have to try them out and check for compatibility.

enhancement

Hi! Thank you for creating this easy-to-use library! I was using your implementation of SSGAN to reproduce the original paper [https://arxiv.org/abs/1810.01365](https://arxiv.org/abs/1810.01365). As I read the original paper, the highest performing...

enhancement

Looking at the official BigGAN implementation in Tensorflow, I found they use ConvTranspose2d for Upsample and Conv2d for Downsample in the ResNet block (e.g. [https://github.com/taki0112/BigGAN-Tensorflow/blob/master/ops.py#L159](https://github.com/taki0112/BigGAN-Tensorflow/blob/master/ops.py#L159)). I know that BigGAN implementations...

enhancement

Thank you for your hard work on this library! Do you have any plans to add StyleGAN(2)? There are unofficial numerous PyTorch implementations (e.g. https://github.com/rosinality/stylegan2-pytorch) on GitHub.

enhancement

Dear Kwotsin: Hi, When I use the dataset LSUN-Bedroom | Train | 128 x 128 The data is 128x128 size, right? So I changed the example file in https://github.com/kwotsin/mimicry/blob/master/examples/sngan_example.py the...