Progressive GAN on celebrity faces
-
Updated
Nov 29, 2021 - Jupyter Notebook
Progressive GAN on celebrity faces
A PyTorch implementation of Pix2PixHD to generate 1024x1024 HD images of Celebrities using sketches.
PyTorch implementation of various Variational Autoencoder models
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.
TensorFlow implementation of "Context Encoders: Feature Learning by Inpainting" with CelebAMask-HQ Dataset.
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
Add a description, image, and links to the celeba-hq topic page so that developers can more easily learn about it.
To associate your repository with the celeba-hq topic, visit your repo's landing page and select "manage topics."