[CVPR2020] Adversarial Latent Autoencoders
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Updated
Jan 23, 2021 - Python
[CVPR2020] Adversarial Latent Autoencoders
A large-scale face dataset for face parsing, recognition, generation and editing.
A face recognition solution on mobile device.
[ECCV 2024 Oral 🔥] Arc2Face: A Foundation Model for ID-Consistent Human Faces ------------------------ [ICCVW 2025] ID-Consistent, Precise Expression Generation with Blendshape-Guided Diffusion
[ECCV 2018] ReenactGAN: Learning to Reenact Faces via Boundary Transfer
[CVPR 2023] Collaborative Diffusion
TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model
This is the accompanying code for the Medium article: https://medium.com/@karol_majek/high-resolution-face2face-with-pix2pix-1024x1024-37b90c1ca7e8
Simple deepfake pet-project
This is the official implementation of "Vec2Face: Scaling Face Dataset Generation with Loosely Constrained Vectors", which is accepted at ICLR2025.
Generate Random Faces which do not exists. I trained a Deep Convolution GAN (DCGAN) on 100k celebrities photos.
MaskGAN, face parsing, recognition, generation and editing. + train code
face generating DCGAN implemented by Keras
[CVPR 2023 Highlight] StyleGene: Crossover and Mutation of Region-level Facial Genes for Kinship Face Synthesis
Experimental repository attempting to project facial landmarks into the StyleGAN2 latent space.
[CVPR '23] Unite and Conquer: Plug & Play Multi-Modal Synthesis using Diffusion Models
Face Generation using Generative Adversarial Networks
StarGAN - tensorflow implementation
A controllable generative model using a Convolutional Variational Autoencoder (VAE) with GUI to generate faces with desirable features.
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