action-units

An Out-of-the-Box Replication of GANimation using PyTorch, pretrained weights are available!

[WACV 2024 & FG 2026] LibreFace: An Open-Source Toolkit for Deep Facial Expression Analysis

ICface: Interpretable and Controllable Face Reenactment Using GANs

Pytorch implementation of Multi-View Dynamic Facial Action Unit Detection, Image and Vision Computing (2018)

Code for BMVC paper "Joint Action Unit localisation and intensity estimation through heatmap regression"

This project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN

Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues

A PyTorch re-implementation of Weakly Supervised Facial Action Unit Recognition through Adversarial Training

ROS bindings for OpenFace 2.1.0

Deep Region and Multi-label Learning for Facial Action Unit Detection

To examine the feasibility of and aim to use different behavioral indicators for depression, consisting of, but not limited to, visual and audio features to design an effective testing model which can be made more accessible than traditional testing methods.

A simple Action Unit player with a rendered face modeled with Candide-3.

A machine learning model mapping action unit from OpenFace to Blendshapes from Arkit LiveFace

Exploring State-of-the-Art Tools for Emotion Detection / LibreFace Implementation

Comparative study of 7 CNN architectures for facial expression recognition using generic vs. Action Unit (FACS)-aligned facial-landmark regions — shared vs. landmark-specific backbones, feature-vector vs. feature-map fusion, and 3D convolution, evaluated on RAF-DB and CK+. IEEE CIS Kolkata internship project.

ROS 2 Wrapper for OpenFace

Shout-out supporters in your GitHub README file.

Multimodal depression severity estimation from clinical interviews — BiLSTM temporal attention on facial Action Units + MentalRoBERTa text embeddings, fused via SVM. PHQ-8 prediction on E-DAIC dataset.

Search for a dependency between "annemo" annotations of valence and arousal from RECOLA and Action Units from OpenFace using ARD regression and ARIMA.

Compare CNN-based landmark processing and fusion strategies for facial expression recognition using PyTorch and MediaPipe.