celeba-hq

[CVPR2020] Adversarial Latent Autoencoders

Image Fine-grained Inpainting (Winner Award of ECCVW AIM 2020 Extreme Inpainting Track1&Track2)

Get started with CelebA-HQ dataset in under 5 mins !

Modified h5tool.py make user getting celeba-HQ easier

Supposed you've downloaded CelebA & CelebA-HQ dataset, and want to get HQ images from them.

Official PyTorch repository for Quaternion Generative Adversarial Networks.

TensorFlow implementation of "Context Encoders: Feature Learning by Inpainting" with CelebAMask-HQ Dataset.

Wasserstein GAN with gradient penalty tutoria, PyTorch ver.

PyTorch implementation of 'PGGAN' (Karras et al., 2018) from scratch and training it on CelebA-HQ at 512 × 512

PyTorch implementation of various Variational Autoencoder models

A PyTorch implementation of Pix2PixHD to generate 1024x1024 HD images of Celebrities using sketches.

Progressive GAN on celebrity faces