A large-scale face dataset for face parsing, recognition, generation and editing.
[ECCV2020] A Large-Scale Face Anti-Spoofing Dataset
Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets
Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset
Variational auto-encoder trained on celebA . All rights reserved.
Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset
PyTorch inference for "Progressive Growing of GANs" with CelebA snapshot
To obtain high resolution face images from CelebA
Python script to download the celebA-HQ dataset from google drive
Modified h5tool.py make user getting celeba-HQ easier
Generate flowers, cartoon head, celeba faces
Simulated masked face with dataset CelebA
Face Attribute Prediction on CelebA benchmark with PyTorch Implementation
PyTorch Implementation of DCGAN trained on the CelebA dataset.
Get started with CelebA-HQ dataset in under 5 mins !
Facial Attributes analysis/classification based on the dataset CelebA
Multi-label Classification using PyTorch on the CelebA dataset.
use yolo v2 to train face detection model on CelebA dataset
Example implementation of DCGAN on CelebA dataset in PyTorch
We provide a pre-trained model for unconditional 19-step generation of CelebA-HQ images
翻译 - 我们为CelebA-HQ图像的无条件19步生成提供了预训练模型
PyTorch implemented generative models for CelebA dataset: DCGAN, LSGAN, WGAN, WGANGP, InfoGAN, BEGAN, VAE, VAEGAN