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Weiyun Jiang I'm a PhD student at Rice University, where I work on imaging through turbulence. My PhD advisor is Ashok Veeraraghavan. I also collaborate closely with Chris Metzler. During the summer of 2024, I worked as a research intern at the Mobile Processor Innovation Lab at Samsung Research America. I hold an MS in Electrical Engineering from Stanford University, where I worked in Gordon Wetzstein's lab. I have a BS in Electrical Engineering from UC Santa Barbara, where I worked in Zheng Zhang's lab. Email / CV / Google Scholar / LinkedIn |
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ResearchI'm interested in computational imaging, imaging through turbulence, and machine learning. Some papers are highlighted. |
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Guidestar-Free Adaptive Optics with Asymmetric Apertures
Weiyun Jiang*, Haiyun Guo*, Christopher A. Metzler†, Ashok Veeraraghavan† Manuscript, 2026 project page / arXiv The first closed-loop adaptive optics system capable of real-time optical correction without the need for a guidestar or a specialized wavefront sensor. |
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NeRT: Implicit Neural Representations for General Unsupervised Turbulence Mitigation
Weiyun Jiang, Yuhao Liu, Vivek Boominathan, Ashok Veeraraghavan CVPRW, 2023 project page / arXiv / code / data / slides Unsupervised turbulence mitigation using a physically-correct tilt-then-blur atmospheric turbulence forward model. |
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Temporally Consistent Atmospheric Turbulence Mitigation with Neural Representations
Haoming Cai*, Jingxi Chen*, Brandon Y. Feng, Weiyun Jiang, Mingyang Xie, Kevin Zhang, Ashok Veeraraghavan, Christopher A. Metzler NeurIPS, 2024 project page / paper Restores temporally coherent sharp videos from videos degraded by atmospheric turbulence. |
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Source code from Jon Barron's website. |
