There are 19 repositories under face-generation topic.
papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;
[CVPR2020] Adversarial Latent Autoencoders
A large-scale face dataset for face parsing, recognition, generation and editing.
A face recognition solution on mobile device.
Collaborative Diffusion (CVPR 2023)
TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model
[ECCV 2018] ReenactGAN: Learning to Reenact Faces via Boundary Transfer
Notebook for O'Reilly's "Deep Convolutional Generative Adversarial Networks"
This is the accompanying code for the Medium article: https://medium.com/@karol_majek/high-resolution-face2face-with-pix2pix-1024x1024-37b90c1ca7e8
[CVPR 2023 Highlight] StyleGene: Crossover and Mutation of Region-level Facial Genes for Kinship Face Synthesis
使用ONNXRuntime部署U-2-Net生成人脸素描画,包含C++和Python两个版本的程序
[CVPR '23] Unite and Conquer: Plug & Play Multi-Modal Synthesis using Diffusion Models
Deep Convolutional Conditional GAN and Supervised CNN for generating children's faces given parents' faces
Various implementations and projects on CNN, RNN, LSTM, GAN, etc
A face recognition solution on mobile device.
Udacity nanodegree projects: DLND, DRLND, DAND
Experimental repository attempting to project facial landmarks into the StyleGAN2 latent space.
Caffe/C++ implementation of Boundary Equilibrium Generative Adversarial Networks paper for face generation
Controllable Face Generation via pretrained Conditional Adversarial Latent Autoencoder (ALAE)
Simple deepfake pet-project
Generate Random Faces which do not exists. I trained a Deep Convolution GAN (DCGAN) on 100k celebrities photos.
Keras implementation of Variation Autoencoder for face generation. Analysis of the distribution of the latent space of the VAE. Vector arithemtic in the latent space. Morphing between the faces. The model was trained on CelebA dataset
Keras implementation of WGAN GP for face generation. The model is trained on CelebA dataset.
Generate new faces using GAN made in PyTorch.
👨🦰 Large Scale Active Social Engineering Defense (ASED): Multimedia and Social Engineering
Identify Human Face from Bare Description
This program generates realistic human faces using a neural network architecture known as a variational autoencoder. Written using the Keras API in the Tensorflow library. Weights are included.
face generating DCGAN implemented by Keras
Uses generative adversarial networks to create images of faces
VoiceGAN - Hallucinating Faces from Voices
Text-based dataset with comprehensive facial expression sentence
Using GAN to generate human faces (Tensorflow).
MaskGAN, face parsing, recognition, generation and editing. + train code