Unofficial PyTorch implementation of "L2M-GAN: Learning To Manipulate Latent Space Semantics for Facial Attribute Editing".
MTCNN by pytorch
Matching in GAN latent space for better bias benchmarking and semantic image editing. πΆπ»π§πΎπ©πΌβπ¦°π±π½β...
Pytorch codes for "Learning Spatial Attention for Face Super-Resolution", TIP 2020.
Semi-Supervised Learning for Face Sketch Synthesis in the Wild, ACCV2018
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (...
This is the official implemantation of βLearn-to-Decompose: Cascaded Decomposition Network for Cr...
Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch
Semi-supervised Cycle-GAN for face photo-sketch translation in the wild, CVIU2023
PyTorch codes for "Progressive Semantic-Aware Style Transformation for Blind Face Restoration", C...
A large-scale face dataset for face parsing, recognition, generation and editing.
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to...
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
An implementation of paper from NIPS2017 'Towards the Automatic Anime Characters Creation with Ge...
Use supervised learning to illuminate the latent space of GAN for controlled generation and edit