GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]
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Updated
Dec 23, 2019 - Python
GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]
[CVPR 2022] FaceFormer: Speech-Driven 3D Facial Animation with Transformers
Efficient face emotion recognition in photos and videos
An Open Source Modular Framework From Face to FACS Based Avatar Animation (Unity3D / Blender)
An Exciting Deep Learning-based Flask web app that predicts the Facial Expressions of users and also does Graphical Visualization of the Expressions.
A 3D virtual head control system for VTuber in Unity with smooth motion and robust facial expressions
The main purpose of the project - recognition of emotions based on facial expressions. Cohn-Kanade data set (http://www.pitt.edu/~emotion/ck-spread.htm) is used for explorations and training
Pytorch implementation of Multi-View Dynamic Facial Action Unit Detection, Image and Vision Computing (2018)
Crystal TTVS engine is a real-time audio-visual Multilingual speech synthesizer with a 3D expressive avatar.
Face Recognition, Expression Detection, Age detection in realtime from web camera
Face Detection, Facial Expression Detection, and Age Gender Detection Nodejs Web App (https://faceai.herokuapp.com/)
Different GANs for final year project (Facial Expression Generator)
FBI: Facial expression & brainwave signals based emotion recognition and analysis web service
Ad-Corre: Adaptive Correlation-Based Loss for Facial Expression Recognition in the Wild
😄 📹 CLMTrackr tool which tracks emotions with a webcam and a big blob
Expressive robot face designed for tablets
Emotion (Context + Facial) recognition in the wild using ConvNets (EfficientNet, ResNet, ResNext)
Emotions are reflected from speech, hand and gestures of the body and through facial expressions. Hence extracting and understanding of emotion has a high importance of the interaction between human and machine communication. Hence, this project basically focuses on predicting human emotions using facial recognition.
This repository contains my implementation of a shape-constrained network which predicts up to 170 FPS
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