SonoWorld
Turning a single image into an explorable 3D scene with spatial audio grounded in scene semantics and geometry.
I am a Ph.D. student in Computer Science at the University of Maryland, College Park, advised by Prof. Ruohan Gao. I also work closely with Prof. Ming C. Lin.
My research lies at the intersection of multimodal learning, generative modeling, and 3D vision. My current work focuses on reconstructing and generating audio-visual environments from minimal observations.
Previously, I earned my B.Eng. at CUHK-Shenzhen in 2024, advised by Prof. Xiaoguang Han.
I am seeking research internship opportunities for Summer 2027.
Turning a single image into an explorable 3D scene with spatial audio grounded in scene semantics and geometry.
Learning room acoustics from sparse measurements with multi-view visual priors and differentiable acoustic beam tracing.
For the full spatial-audio experience, explore the demos on a desktop with headphones.
* Equal contribution
ECCV 2026
CVPR 2026
ICCV 2025 · Oral Presentation
NeurIPS 2023 · Dataset and Benchmark Track
ICCV 2023
Peer reviewer: ICLR 2027, AAAI 2026, CVPR 2026, NeurIPS 2026 (Top Reviewer); IEEE Transactions on Emerging Topics in Computing.