AI RESEARCH
PicoEyes: Unified Gaze Estimation Framework for Mixed Reality with a Large-Scale Multi-View Dataset
arXiv CS.CV
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ArXi:2605.07188v1 Announce Type: new We present PicoEyes, a unified gaze estimation framework that directly predicts all key attributes of gaze, including 3D eye parameters, eye-region segmentation, optical axis, visual axis, and depth maps, from either monocular or binocular inputs. The framework simultaneously addresses calibration, gaze forecasting, and varying device postures, while also ing 3D eye reconstruction via joint estimation of eye parameters and depth maps in an end-to-end manner. In addition, we