Matching in GAN latent space for better bias benchmarking and semantic image editing. πΆπ»π§πΎπ©πΌβπ¦°π±π½ββοΈπ΄πΎ
Statistics for this project are still being loaded, please check back later.
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
Discovering Interpretable GAN Controls [NeurIPS 2020]
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in...
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial...
Image-to-Image Translation in PyTorch
Toward Multimodal Image-to-Image Translation
StarGAN v2 - Official PyTorch Implementation (CVPR 2020)
[CVPR2020] Adversarial Latent Autoencoders
Robust realtime face and facial landmark tracking on CPU with Unity integration
[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
An arbitrary face-swapping framework on images and videos with one single trained model!