PyTorch implementation of 'PGGAN' (Karras et al., 2018) from scratch and training it on CelebA-HQ at 512 × 512
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Updated
Mar 18, 2024 - Python
PyTorch implementation of 'PGGAN' (Karras et al., 2018) from scratch and training it on CelebA-HQ at 512 × 512
Wasserstein GAN with gradient penalty tutoria, PyTorch ver.
PyTorch implementation of various Variational Autoencoder models
A PyTorch implementation of Pix2PixHD to generate 1024x1024 HD images of Celebrities using sketches.
TensorFlow implementation of "Context Encoders: Feature Learning by Inpainting" with CelebAMask-HQ Dataset.
Progressive GAN on celebrity faces
Official PyTorch repository for Quaternion Generative Adversarial Networks.
Get started with CelebA-HQ dataset in under 5 mins !
Image Fine-grained Inpainting (Winner Award of ECCVW AIM 2020 Extreme Inpainting Track1&Track2)
[CVPR2020] Adversarial Latent Autoencoders
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