[D] My embarrassing trouble with inverting a GAN generator. Do GAN questions still get answered? ;-)

• lightweight-gan

  10 1,599 3.2 Python

  Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two

GAN details: I trained using the code from https://github.com/lucidrains/lightweight-gan, image size is 256, attn-res-layers is [32,64], disc_output_size is 5 and I trained with AMP.

• awesome-generative-modeling

  1 159 10.0

  Bolei's archive on generative modeling

Found relevant code at https://github.com/zhoubolei/awesome-generative-modeling + all code implementations here

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• vaegan

  1 91 10.0 Python

  An implementation of VAEGAN (variational autoencoder + generative adversarial network).

What about a VAE-GAN? It couples a VAE (encoder-decoder) network with a GAN by sharing weights between the generator and decoder. This way you can you use the encoder to obtain the latent variable of interest.

• GlowIP

  1 20 10.0 Jupyter Notebook

  Code to reproduce results from "Invertible generative models for inverse problems: mitigating representation error and dataset bias"

https://github.com/CACTuS-AI/GlowIP. Refer to the gan prior section of the code

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