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Sep 2026
Temporally dense optical flow is essential for dynamic perception in immersive VR/AR systems, where rapid head, hand, and object motion must be continuously captured and tracked. Existing frame-based optical flow estimation methods are constrained by the tradeoff between temporal resolution and computational cost; whil...
Jia-Le Wu, Xiao-Yang Bai, Hao-Ming Yu et al.
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Preprint
Aug 2026
Event cameras offer microsecond-level temporal resolution and high dynamic range, potentially facilitating motion-blur-free panoramic imaging from fast rotational scanning. Nonetheless, existing optimization-based methods remain computationally demanding, while prior learning-based reconstruction methods are largely de...
Zhenyang Li, Zong-Qi He, Jia Pan et al.
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Preprint
Aug 2026
An event-RGB fusion Gaussian splatting framework that integrates event information into both optimization and densification stages of the Gaussian splatting pipeline, taking advantage of novel event sensors with high frame-rate.
Xiao-Yang Bai, Zhenyang Li, Wei-Wei Xu et al.
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