gouxiayibu's repositories
3d-moments
Code for CVPR 2022 paper '3D Moments from Near-Duplicate Photos'
avatarify
Avatars for Zoom, Skype and other video-conferencing apps.
DALI
A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications
DCT-Net
Official implementation of "DCT-Net: Domain-Calibrated Translation for Portrait Stylization", SIGGRAPH 2022 (TOG); Multi-style cartoonization
DeepFaceLab
DeepFaceLab is the leading software for creating deepfakes.
frankmocap
A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator
FUNIT
Translate images to unseen domains in the test time with few example images.
Hairstyle-Transfer
💇🏻♀️An end-to-end workflow for editing hair attributes on real faces
imaginaire
NVIDIA PyTorch GAN library with distributed and mixed precision support
interfacegan
Code for paper `Interpreting the Latent Space of GANs for Semantic Face Editing`
minimal-hand
A minimal solution to hand motion capture from a single color camera at over 100fps. Easy to use, plug to run.
mmediting
OpenMMLab Image and Video Editing Toolbox
nn_tools
Neural Network Tools: Converter and Analyzer. For caffe, pytorch, tensorflow, draknet and so on.
photo2cartoon
人像卡通化探索项目 (photo-to-cartoon translation project)
pytorch-semseg
Semantic Segmentation Architectures Implemented in PyTorch
semantic-segmentation-pytorch
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
semseg
常用的语义分割架构结构综述以及代码复现
SOAT
Official PyTorch repo for StyleGAN of All Trades: Image Manipulation with Only Pretrained StyleGAN.
SPADE
Semantic Image Synthesis with SPADE
SPIN
Repository for the paper "Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop"
streamlit-example
Example Streamlit app that you can fork to test out share.streamlit.io
stylegan-encoder
StyleGAN Encoder - converts real images to latent space
stylegan2-pytorch
Simplest working implementation of Stylegan2 in Pytorch.
unsup3d
(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
VON
[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.