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.
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