36 citations · 61 across the 6 of their papers we have counts for
6 papers
Physically Grounded Monocular Depth via Nanophotonic Wavefront Encoding
Bingxuan Li, Jiahao Wu, Yuan Xu +6
Depth foundation models (DFMs) offer strong learned priors for 3D perception from single RGB images but lack physical depth cues, leading to ambiguities in metric scale. We introdu…
GazeFusion: Saliency-Guided Image Generation
Yunxiang Zhang, Nan Wu, Connor Z. Lin +2
Diffusion models offer unprecedented image generation power given just a text prompt. While emerging approaches for controlling diffusion models have enabled users to specify the d…
Image-GS: Content-Adaptive Image Representation via 2D Gaussians
Yunxiang Zhang, Bingxuan Li, Alexandr Kuznetsov +6
Neural image representations have emerged as a promising approach for encoding and rendering visual data. Combined with learning-based workflows, they demonstrate impressive trade-…
Toward Ubiquitous 3D Object Digitization: A Wearable Computing Framework for Non-Invasive Physical Property Acquisition
Yunxiang Zhang, Xin Sun, Dengfeng Li +2
Accurately digitizing physical objects is central to many applications, including virtual/augmented reality, industrial design, and e-commerce. Prior research has demonstrated effi…
Toward Optimized VR/AR Ergonomics: Modeling and Predicting User Neck Muscle Contraction
Yunxiang Zhang, Kenneth Chen, Qi Sun
Ergonomic efficiency is essential to the mass and prolonged adoption of VR/AR experiences. While VR/AR head-mounted displays unlock users' natural wide-range head movements during…
Force-Aware Interface via Electromyography for Natural VR/AR Interaction
Yunxiang Zhang, Benjamin Liang, Boyuan Chen +4
While tremendous advances in visual and auditory realism have been made for virtual and augmented reality (VR/AR), introducing a plausible sense of physicality into the virtual wor…