Zhaoyi Jiang

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About

Zhaoyi Jiang is a researcher at the forefront of 3D data compression and transmission, with a focus on enabling efficient, high-quality representation for immersive and autonomous systems. His work addresses the critical challenge of handling large-scale, irregular 3D data—such as dynamic point clouds and meshes—for applications ranging from mixed reality to robotics. Jiang’s major contributions include the development of an end-to-end dynamic point cloud geometry compression framework that operates in latent space, significantly reducing bitrates while preserving geometric fidelity. This work, published in 2023, has already garnered 5 citations, highlighting its timely impact on the field. Earlier, he explored 3D mesh compression and transmission for mobile robotic applications, demonstrating how compact 3D representations can support real-time environment mapping and motion planning for exploration and rescue robots. His research bridges the gap between efficient data storage and real-world deployment, making 3D data practical for bandwidth-constrained and latency-sensitive systems. Jiang’s work is essential reading for students and researchers interested in 3D computer vision, robotics, and immersive media, offering foundational techniques for the next generation of spatial computing.