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[CVPR2020] Adversarial Latent Autoencoders
Photometric optimization code for creating the FLAME texture space and other applications
Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)
A comprehensive list of recources (papers, repositories etc.) about face restoration methods.
[CVPR-2023] Re-thinking Model Inversion Attacks Against Deep Neural Networks
An unofficial PyTorch implementation of VQGAN
Wasserstein GAN with gradient penalty tutoria, PyTorch ver.
An unconditional generative model trained on FFHQ face data set in 256×256 resolution and then fine-tuned using the Dreambooth method.