caogaofeng Goto Github PK
Name: CGF
Type: User
CGF's Projects
ntu_ml2017_hung-yi-lee_hw
NTU ML2017 Spring and Fall Homework Hung-yi_Li 李宏毅老师 机器学习课程作业
nunif
Misc; latest version of waifu2x; 2d video to sbs 3d video; etc
opencv-practical-exercise
OpenCV practical exercise
opencv-python-tutorial
OpenCV问答群,QQ群号:187436093
opencvtutorials
OpenCV-Python4.1 中文文档
paddlegan
PaddlePaddle GAN library and applications.
paper_experiment_recommende_system
论文实验实现
pbnfm
An implementation for calibration method of CVPR 2020 paper , "A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising".
pcl_cloud
pcv-book-code
:book:Python计算机视觉中译本实例代码
pixel2style2pixel
Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
pkuthss
A modified version of LaTeX Peking University graduate degree thesis template base on CasperVector/pkuthss
plotneuralnet
Latex code for making neural networks diagrams
python
scikit_learn_study
python-use-cube-lut-file-process-image
使用 Python 处理 cube 文件来对图像做处理
pytorch
pytorch-handbook
pytorch-implemented-deep-sr-itm
A Pytorch implemented Deep SR-ITM (ICCV2019)
pytorch-liteflownet3
pytorch-srgan
A modern PyTorch implementation of SRGAN
pytorch-vdsr
VDSR (CVPR2016) pytorch implementation
pytracking
Visual tracking library based on PyTorch.
realsr
Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model (ICCV 2019)
realsr-1
[Unofficial implementation] Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model (ICCV 2019)
retinexnet
A Tensorflow implementation of RetinexNet
rfr-inpainting
The source code for CVPR 2020 accepted paper "Recurrent Feature Reasoning for Image Inpainting"
rgb_hsv_hsl
a pure pytorch implementation of color space conversion, including rgb2hsl, rgb2hsv, hsv2rgb, hsl2rgb
rtc2020_efficientsr
scn
self-attention-gan
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)
sice
Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images (TIP 2018)
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