Biography

Seung-Hwan Baek is an Associate Professor of Computer Science and Engineering at POSTECH, where he is also affiliated with the POSTECH Graduate School of AI. He leads the POSTECH Computational Imaging Group and serves as a faculty co-director of the POSTECH Computer Graphics Lab.

Seung-Hwan Baek's research lies at the intersection of computational imaging, computer graphics, computer vision, artificial intelligence, and optics. He focuses on capturing, modeling, and analyzing high-dimensional visual data (polarization, spectrum, phase, amplitude, time-of-flight, and intensity), originating from the complex interplays between light, material appearance, and geometry. His work has practical applications across mobile cameras, robotics, autonomous vehicles, VR/AR displays, and scientific instruments.

Prior to joining POSTECH in December 2021, Seung-Hwan Baek was a Postdoctoral Researcher at Princeton University working with Felix Heide. He earned a Ph.D. in 2019 from KAIST under the supervision of Min H. Kim, and served as a visiting professor at the University of Toronto in 2025.

Seung-Hwan Baek serves as Program Chair for the International Conference on Computational Photography (ICCP) 2026. He frequently serves on program committees for prestigious conferences, including SIGGRAPH, SIGGRAPH Asia, ICCP, Eurographics, and Pacific Graphics.

Seung-Hwan Baek's contributions to the field have been recognized with honors, including the Asiagraphics Young Researcher Award, the Frontiers of Science Award from the International Congress of Basic Science, the Outstanding Ph.D. Thesis Award from the Korean Academy of Science and Technology, the Microsoft Research Asia Ph.D. Fellowship, and the Best Application Paper and Best Demo Awards at ACCV.

Selected Publications

1. Broadband de-occluding metalens, Nature Communications, 2026

2. Ambient-robust Inverse Rendering using Active RGB-NIR Imaging, SIGGRAPH 2026

3. Broadband Hyperspectral 3D Imaging using Dispersed Structured Light, SIGGRAPH 2026

4. Hyperspectral Polarimetric BRDFs of Real-world Materials, SIGGRAPH Asia 2025

5. Event Ellipsometer: Event-based Mueller-Matrix Video Imaging, CVPR 2025 (highlight)

6. 360° Structured Light with Learned Metasurfaces, Nature Photonics, 2024  

7. Spectral and Polarization Vision: Spectro-polarimetric Real-world Dataset, CVPR 2024 (highlight)

8. Neural Spectro-polarimetric Fields, SIGGRAPH Asia 2023 

9. Polka Lines: Learning Structured Illumination and Reconstruction for Active Stereo, CVPR 2021 (oral) 

10. Polarimetric Spatio-Temporal Light Transport Probing, SIGGRAPH Asia 2021 (TOG)

11. Neural Nano-Optics for High-quality Thin Lens Imaging, Nature Communications, 2021

12. Image-Based Acquisition and Modeling of Polarimetric Reflectance, SIGGRAPH 2020 (TOG) 

13. Simultaneous Acquisition of Polarimetric SVBRDF and Normals, SIGGRAPH Asia 2018 (TOG)

14. Birefractive Stereo Imaging for Single-Shot Depth Acquisition, SIGGRAPH Asia 2016 (TOG)