Times are displayed in (UTC-07:00) Pacific Time (US & Canada)Change
2/4/2025 | 3:30 PM - 5:30 PM | Regency A
System and algorithm co-design for efficient image rendering in AR/VR system
Abstract
The cost of image rendering in AR/VR environments is considerable, primarily due to the demands of high-quality visual experiences from users. This challenge is even greater in real-time applications, where maintaining low latency further increases the complexity of the rendering process. On the other hand, VR devices, such as head-mounted displays (HMDs), are intrinsically linked to human behavior, using insights from perception and cognition to enhance user experience. In this talk, I will discuss recent research outcomes from my group that aim to reduce the high computational costs of the rendering process in VR. By leveraging the natural dynamics of human eye behavior and co-optimizing AI algorithms with the underlying supporting hardware architectures, we can achieve significant efficiency improvement on VR system performance.
System and algorithm co-design for efficient image rendering in AR/VR system
Description
Date and Location: 2/4/2025 | 03:30 PM - 04:10 PM | Regency A
Primary Session Chair:
Yuhao Zhu | University of Rochester
Session Co-Chair: