DiTGaze: Geometry-Conditioned Diffusion Augmentation for Few-Shot Gaze Estimation.

arXiv:2511.11231v2 Announce Type: replace-cross Abstract: Accurate person-specific gaze estimation benefits from labeled user data, but collecting images that densely cover gaze directions is burdensome. We present DiTGaze, a calibration-efficient augmentation