Yu-Ying Yeh
Papers
1
Total Citations
66
H-Index
1
About
Yu-Ying Yeh is a leading researcher in computer vision and graphics, with a focus on photorealistic scene understanding, inverse rendering, and material and lighting estimation. Her most impactful contribution is the development of **OpenRooms**, an open-source framework that enables the creation of large-scale, photorealistic indoor scene datasets with high-quality ground truth for geometry, materials, lighting, and semantics. This work, published in 2021 and garnering 66 citations, democratizes dataset generation by transforming raw 3D scans into richly annotated, realistic environments—a critical resource for training and evaluating models in scene understanding and rendering. Yeh’s research bridges the gap between synthetic data and real-world complexity, advancing applications in augmented reality, robotics, and indoor navigation. Her work is widely recognized for its practical impact, providing the community with accessible tools to accelerate progress in photorealistic simulation. Through OpenRooms and related projects, Yeh has established herself as a key figure in making high-fidelity, annotated datasets more attainable, directly influencing how researchers approach scene reconstruction and inverse graphics.
Research Focus
Key Achievements
Top Papers
- 1OpenRooms: An Open Framework for Photorealistic Indoor Scene Datasets66 citations · 2021