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
A PyTorch implementation of Pix2PixHD to generate 1024x1024 HD images of Celebrities using sketches.
Wasserstein GAN with gradient penalty tutoria, PyTorch ver.
PyTorch implementation of various Variational Autoencoder models
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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