A simple Python implementation of the 1€ Filter (1e filter, 1 euro filter, One Euro Filter). The code can be used as pseudocode for implementing the algorithm in other languages.

The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.

The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images. In ECCV2018.

FaceScape: a Large-scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction (CVPR2020)

Lucas Kanade Tracker with DL layers. MTP project

Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)

A curated list of papers & resources linked to 3D reconstruction from images.

Lucas-Kanade motion tracking in Tensorflow

Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors

Python tools for 3D face: 3DMM, Mesh processing(transform, camera, light, render), 3D face representations.

insightface-caffe

python kalman filter for object points in image. time < 0.1ms per point

This file is caffe type of resnet18,including resnet18.prototxt and resnet18-deploy.prototxt

👨 Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"

Models and examples built with TensorFlow

A paper list of object detection using deep learning.

Squeeze-and-Excitation Networks

基于深度学习106点人脸标定算法 Open Source Face Landmark

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

Xception implemented with caffe

Open Source Computer Vision Library

An HTTP+HTTP/2 client for Android and Java applications.

Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network

C++ Implementation of the Adaptive Wiener Filter (Based on Opencv Library)

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

A Tensorflow implementation of Spatial Transformer Networks.

SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018