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KAUST Research Conference on Robotics and Autonomy
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differentiable optics

Differentiable Optics for Automated Optical Design and End-to-end Computational Imaging

Xinge Yang, Ph.D. Student, Computer Science
May 11, 17:00 - 18:30

B1 R2202

differentiable optics computational imaging optical design automated design augmented reality virtual reality AR VR

This thesis develops a differentiable optics and image simulation framework, with applications in automated lenses and AR/VR design and end-to-end computational imaging with novel camera systems.

Yidan Zheng

Ph.D. Student, Computer Science

computational imaging differentiable optics Computer Vision machine learning

Xinge Yang

Ph.D. Student, Computer Science

Computational Photography computational imaging differentiable optics

Xinge Yang's research focuses on differentiable optical design and end-to-end computational imaging.

KAUST Research Conference on Robotics and Autonomy (RobotoKAUST)

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