Author

Ali Behrooz

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Preprint Sep 2026

GazeDiT: Gaze-Accurate Diffusion Image Generation for Eye Tracking via Spatial Conditioning

GazeDiT is introduced, a diffusion model that generates images for a requested 4D gaze through an internally constructed spatial condition that grounds the global gaze label in this local geometry, and achieves substantially lower tail gaze-label error than other diffusion baselines.

Dong-Ze Wu, David Colmenares, Feng-Ting Yang et al. · 0 citations