10 citations · 23 across the 8 of their papers we have counts for
5 papers · 1 filter
Can Foundation Models Revolutionize Mobile AR Sparse Sensing?
Yiqin Zhao, Tian Guo
Mobile sensing systems have long faced a fundamental trade-off between sensing quality and efficiency due to constraints in computation, power, and other limitations. Sparse sensin…
CleAR: Robust Context-Guided Generative Lighting Estimation for Mobile Augmented Reality
Yiqin Zhao, Mallesham Dasari, Tian Guo
High-quality environment lighting is essential for creating immersive mobile augmented reality (AR) experiences. However, achieving visually coherent estimation for mobile AR is ch…
Mobile AR Depth Estimation: Challenges & Prospects -- Extended Version
Ashkan Ganj, Yiqin Zhao, Hang Su +1
Metric depth estimation plays an important role in mobile augmented reality (AR). With accurate metric depth, we can achieve more realistic user interactions such as object placeme…
LitAR: Visually Coherent Lighting for Mobile Augmented Reality
Yiqin Zhao, Chongyang Ma, Haibin Huang +1
An accurate understanding of omnidirectional environment lighting is crucial for high-quality virtual object rendering in mobile augmented reality (AR). In particular, to support r…
Multi-Camera Lighting Estimation for Photorealistic Front-Facing Mobile Augmented Reality
Yiqin Zhao, Sean Fanello, Tian Guo
Lighting understanding plays an important role in virtual object composition, including mobile augmented reality (AR) applications. Prior work often targets recovering lighting fro…