ffhq

[CVPR2020] Adversarial Latent Autoencoders

Official implementation of Diffusion Autoencoders

Photometric optimization code for creating the FLAME texture space and other applications

A comprehensive list of recources (papers, repositories etc.) about face restoration methods.

Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)

Image Fine-grained Inpainting (Winner Award of ECCVW AIM 2020 Extreme Inpainting Track1&Track2)

[CVPR-2023] Re-thinking Model Inversion Attacks Against Deep Neural Networks

"Analyzing and Improving the Image Quality of StyleGAN" in TensorFlow 2

An unofficial PyTorch implementation of VQGAN

Wasserstein GAN with gradient penalty tutoria, PyTorch ver.

FFHQ but in jpg

crop/align faces to FFHQ-style using dlib

FFHQ-2048: 1,000 sharp 2048x2048 portraits, the first new high-quality public face dataset since FFHQ (2019). Re-mastered by NanoPocket Face Enhance. Full 70k set on request.

Lightweight MSRResNet-based blind face super-resolution model trained on FFHQ using the BasicSR framework.

얼굴 정렬·파싱 후 주름/모공/홍조 3채널 조건지도(heatmaps + .npy)를 만들어 cGAN 학습에 쓰는 파이프라인. (Face parsing + skin-condition maps (redness/wrinkle/pore) pipeline for conditional GAN training.)