Showing cs.CVShow all
3 papers · 1 filter
cs.CV2026
GazeDiT: Gaze-Accurate Diffusion Image Generation for Eye Tracking via Spatial Conditioning
Dongze Wu, David Colmenares, Fengting Yang +4
Diffusion models are increasingly used to generate synthetic training data, but precise label control remains difficult when the conditioning signal is low-dimensional and coarse.…
cs.CV2026
GazePrior: Zero-Shot AR/VR Eye Tracking via Learned 3D Gaze Reconstruction
Corentin Dumery, David Colmenares, Alexander Fix +3
Eye tracking (ET) is a foundational technology for advanced AR/VR applications. However, training ET models for every new ET device is challenging: real data collection is costly a…
cs.CV2026
Rapidly deploying on-device eye tracking by distilling visual foundation models
Cheng Jiang, Jogendra Kundu, David Colmenares +4
Eye tracking (ET) plays a critical role in augmented and virtual reality applications. However, rapidly deploying high-accuracy, on-device gaze estimation for new products remains…