OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

Gaze-LLE: Gaze Target Estimation via Large-Scale Learned Encoders (CVPR 2025, Highlight)

Gaze Estimation using Deep Learning, a Tensorflow-based framework.

Awesome Curated List of Eye Gaze Estimation Paper

OpenFace is get from https://github.com/TadasBaltrusaitis/OpenFace, a state-of-the art open source tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation. And I create an ios project. Delete Dlib,TBB,Boost. Only use OpenCV .

The official PyTorch implementation of L2CS-Net for gaze estimation and tracking

RT-GENE: Real-Time Eye Gaze and Blink Estimation in Natural Environments

Gaze estimation using MPIIGaze and MPIIFaceGaze

Pytorch implementation and demo of FAZE: Few-Shot Adaptive Gaze Estimation (ICCV 2019, oral)

Code for the Gaze360: Physically Unconstrained Gaze Estimation in the Wild Dataset

A deep learning based gaze estimation framework implemented with PyTorch

Webcam-based eye pupil tracking and gaze estimation using Python and OpenCV

Pupil segmentation and gaze estimation using fully convolutional neural networks

MobileGaze: Real-Time Gaze Estimation models using ResNet 18/34/50, MobileNet v2 and MobileOne s0-s4 | In PyTorch >> ONNX Runtime Inference

The codes and models in 'Gaze Estimation using Transformer, ICPR2022'.

OpenFace 3.0 – open-source toolkit for facial landmark detection, action unit detection, eye-gaze estimation, and emotion recognition.

Gaze Estimation via Deep Neural Networks

[ECCV 2024] 3DGazeNet: Generalizing Gaze Estimation with Weak-Supervision from Synthetic Views

Lightweight gaze estimation with PyTorch.

Gaze estimatin code. The Pytorch Implementation of "MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation".

Unreal Engine 4 Plugin of OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation made by CMU and Cambridge University

[IEEE SPL] End-to-end Video Gaze Estimation via Capturing Head-face-eye Spatial-temporal Interaction Context

Code of Puregaze: Purifying gaze feature for generalizable gaze estimation, AAAI 2022.

A curated list of awesome gaze estimation frameworks, datasets and other awesomeness.

Gaze-LLE-DINOv3: Gaze Target Estimation via Large-Scale Learned Encoders with DINOv3.

Gaze tracking

This repository is the official implementation of GaTector, which studies the newly proposed task, gaze object prediction. In this work, we build a novel framework named GaTector to tackle the gaze object prediction problem in a unified way. Particularly, a specific-general-specific (SGS) feature extractor is firstly proposed to utilize a shared backbone to extract general features for both scene and head images. To better consider the specificity of inputs and tasks, SGS introduces two input-specific blocks before the shared backbone and three task-specific blocks after the shared backbone. Specifically, a novel defocus layer is designed to generate object-specific features for object detection task without losing information or requiring extra computations. Moreover, the energy aggregation loss is introduced to guide the gaze heatmap to concentrate on the stared box. In the end, we propose a novel mDAP metric that can reveal the difference between boxes even when they share no overlapping area. Extensive experiments on the GOO dataset verify the superiority of our method in all three tracks, i.e., object detection, gaze estimation, and gaze object prediction.

An experiment on gaze tracker system, based on OpenCV, which shows how to control mouse pointer using eyes and gaze estimation

Keras implementation of "Recurrent CNN for 3D Gaze Estimation using Appearance and Shape Cues" paper