Evonne Ng

University of California, Berkeley, Berkeley College

Papers

Total Citations

550

H-Index

About

Evonne Ng is a leading researcher at the intersection of computer vision and graphics, with a primary focus on advancing Neural Radiance Fields (NeRF) and egocentric human pose estimation. Her most impactful contribution is the development of **Nerfstudio**, a modular PyTorch framework that has revolutionized NeRF research by providing a standardized, plug-and-play platform for development and deployment. This work has garnered over 500 citations, reflecting its critical role in accelerating innovation across computer vision, graphics, and robotics. Ng’s earlier work, **You2Me**, introduced a novel learning-based approach to infer the 3D body pose of a camera wearer from egocentric video, leveraging first- and second-person interactions—a key breakthrough for augmented reality and healthcare applications. By bridging the gap between complex 3D scene representation and practical, user-friendly tools, Ng has empowered researchers worldwide to build upon NeRF technology with unprecedented ease. Her contributions not only advance fundamental research but also democratize access to cutting-edge 3D reconstruction methods, making her a pivotal figure in the modern computer vision landscape.