The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.
This repository implements a demo of the networks described in "How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)" paper.
Example code for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 3D keypoints and 3D scans.
#计算机科学#Official repository accompanying a CVPR 2022 paper EMOCA: Emotion Driven Monocular Face Capture And Animation. EMOCA takes a single image of a face as input and produces a 3D reconstruction. EMOCA set...
A 3DMM fitting framework using Pytorch.
#人脸识别#Python library for analysing faces using PyTorch
#计算机科学#Official repo for DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image (CVPR 2022).
Tensorflow framework for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 2D or 3D keypoints, and how to generate textured head meshes from Images...
3DV 2021: Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
[ECCV 2020] Reimplementation of 3DDFAv2, including face mesh, head pose, landmarks, and more.
Official Pytorch Implementation of SMIRK: 3D Facial Expressions through Analysis-by-Neural-Synthesis (CVPR 2024)
Official code for ICCV 2021 oral paper: Topologically Consistent Multi-View Face Inference Using Volumetric Sampling
This is the official repository for evaluation on the NoW Benchmark Dataset. The goal of the NoW benchmark is to introduce a standard evaluation metric to measure the accuracy and robustness of 3D fac...
Evaluation scripts for the FG2018 3D face reconstruction challenge
#计算机科学#Training of machine learning models for the tracker
Preprocessing to evaluate 3D face reconstruction from 2D image
Reproduction of the 3d rotation augmentation of the 300W-LP face pose data set
#人脸识别#This project estimates the Euler angles of a person's face in real-time using a convolutional neural network (CNN) developed by Yinguobing.
#人脸识别#3D Faces Collection Dataset