zelonghaha's repositories
neural-head-avatars
Official PyTorch implementation of "Neural Head Avatars from Monocular RGB Videos"
Action-Units-Heatmaps
Code for BMVC paper "Joint Action Unit localisation and intensity estimation through heatmap regression"
AUNets
Pytorch implementation of Multi-View Dynamic Facial Action Unit Detection, Image and Vision Computing (2018)
AWESOME
Top conferences & Journals focused on Facial expression recognition (FER)/ Facial action unit (FAU)
Expression-Net
Deep 3DMM facial expression parameter extraction
FaceTrack
FaceTrack: Asymmetric Facial and Gesture Analysis Tool for Speech Language Pathologist Applications
Facial-Action-Unit-Detection
Predicting FAU intensities to determine the type of emotion.
Facial-capture-based-on-monocular-video
facial animation UE4
FacialRetargeting
Released code for paper "Facial Expression Retargeting from Human to Avatar Made Easy"
fast-n-deep-faces
Fast and Deep Facial Deformations
FAU
Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution
FER
Real-time Facial Expression Recognition ``In The Wild'' by Disentangling 3D Expression from Identity
IMavatar
Official repository for CVPR 2022 paper: I M Avatar: Implicit Morphable Head Avatars from Videos
JSONLiveLink
LiveLink Source for receiving JSON over sockets.
Linux---webserver
此项目是针对Linux用C++进行服务器的开发，实现了一个简单的Web服务器，支持静态资源访问与动态资源回显。
Multitask-Emotion-Recognition-with-Incomplete-Labels
This is the repository containing the solution for FG-2020 ABAW Competition
NED
PyTorch implementation for NED (CVPR 2022). It can be used to manipulate the facial emotions of actors in videos based on emotion labels or reference styles.
OpenFace
OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.
PAttNet
Patch Attentive Deep Network for Action Unit Detection
Pytorch-FAU
The Pytorch implementation of Facial Action Unit Intensity Estimation.
pytorch-nicp
GPU Accelerated Non-rigid ICP for surface registration
ReenactGAN
[ECCV 2018] ReenactGAN: Learning to Reenact Faces via Boundary Transfer
RingNet
Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
SynergyNet
3DV 2021: Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry