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Zen's Projects

6drepnet icon 6drepnet

Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.

celebamask-hq icon celebamask-hq

A large-scale face dataset for face parsing, recognition, generation and editing.

cv_interviews_q-a icon cv_interviews_q-a

CV算法岗知识点及面试问答汇总,主要分为计算机视觉、机器学习、图像处理和 C++基础四大块,一起努力向offers发起冲击!

dbface icon dbface

DBFace is a real-time, single-stage detector for face detection, with faster speed and higher accuracy

deeplearning icon deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

edsr-keras icon edsr-keras

Keras implementation of EDSR: Enhanced Deep Residual Networks for Single Image Super-Resolution

face_parsing icon face_parsing

Official Pytorch implementation of 'RoI Tanh-polar Transformer Network for Face Parsing in the Wild.'

facemaskdetection icon facemaskdetection

开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.

facepose_pytorch icon facepose_pytorch

🔥🔥The pytorch implement of the head pose estimation(yaw,roll,pitch) and emotion detection with SOTA performance in real time.Easy to deploy, easy to use, and high accuracy.Solve all problems of face detection at one time.(极简,极快,高效是我们的宗旨)

fastgaussianblur icon fastgaussianblur

step-by-step tutorial for optimizing a Gaussian image smoothing function

gfpgan icon gfpgan

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

hdrnet-pytorch icon hdrnet-pytorch

Unofficial PyTorch implementation of 'Deep Bilateral Learning for Real-Time Image Enhancement', SIGGRAPH 2017 https://groups.csail.mit.edu/graphics/hdrnet/

hdrunet icon hdrunet

CVPR2021 Workshop - HDRUNet: Single Image HDR Reconstruction with Denoising and Dequantization.

hep icon hep

Official implementation for “Unsupervised Low-Light Image Enhancement via Histogram Equalization Prior”

higherhrnet-human-pose-estimation icon higherhrnet-human-pose-estimation

This is an official implementation of our CVPR 2020 paper "HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation" (https://arxiv.org/abs/1908.10357)

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