Researchers Develop DistillGaze Framework for Rapid On-Device Eye Tracking

Scientists created DistillGaze, a framework that uses visual foundation models combined with synthetic and real data to enable accurate eye tracking on mobile devices without extensive retraining. The approach reduces gaze estimation errors by 58% while keeping models lightweight enough for real-time AR/VR deployment despite hardware variations across devices.