Pinned Repositories
Awesome-Face-Forgery-Generation-and-Detection
A curated list of articles and codes related to face forgery generation and detection.
CVPR2021-Paper-Code-Interpretation
cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理
DCGAN-tensorflow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
face-dataset
Face related datasets
face3d
Python tools for 3D face: 3DMM, Mesh processing(transform, camera, light, render), 3D face representations.
faceswap
Python script to put facial features from one face onto another
FightingCV-Paper-Reading
⭐⭐⭐FightingCV Paper Reading, which helps you understand the most advanced research work in an easier way 🍀 🍀 🍀
GNNPapers
Must-read papers on graph neural networks (GNN)
hello-world
test-demo
IDR-Ingredients-oriented-Degradation-Reformulation
JingHao99's Repositories
JingHao99/IDR-Ingredients-oriented-Degradation-Reformulation
JingHao99/Awesome-Face-Forgery-Generation-and-Detection
A curated list of articles and codes related to face forgery generation and detection.
JingHao99/CVPR2021-Paper-Code-Interpretation
cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理
JingHao99/DCGAN-tensorflow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
JingHao99/face-dataset
Face related datasets
JingHao99/face3d
Python tools for 3D face: 3DMM, Mesh processing(transform, camera, light, render), 3D face representations.
JingHao99/faceswap
Python script to put facial features from one face onto another
JingHao99/FightingCV-Paper-Reading
⭐⭐⭐FightingCV Paper Reading, which helps you understand the most advanced research work in an easier way 🍀 🍀 🍀
JingHao99/GNNPapers
Must-read papers on graph neural networks (GNN)
JingHao99/hello-world
test-demo
JingHao99/ICCV2021-Papers-with-Code
ICCV 2021 论文和开源项目合集
JingHao99/JHao.github.io
JingHao99/JingHao99.github.io
JingHao99/lhy_DL_Hw
JingHao99/Lighting-the-Darkness-in-the-Deep-Learning-Era-Open
JingHao99/lihang-code
《统计学习方法》的代码实现
JingHao99/ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
JingHao99/Nonlinear_Face_3DMM
Source code for "Nonlinear 3D Face Morphable Model"
JingHao99/python-cheatsheet
Comprehensive Python Cheatsheet
JingHao99/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
JingHao99/Statistical-Learning-Methods
Implement Statistical Leanring Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现
JingHao99/Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
JingHao99/TopPaper
Classic papers for beginners, and impact scope for authors.
JingHao99/VAN-Segmentation