About Me
Hi! I am a Ph.D. candidate working at the intersection of optical imaging and generative AI. I develop diffusion/flow-based methods for solving inverse problems in imaging (advisor: Prof. Se Young Chun, Intelligent Computational Imaging Lab). Previously, I worked on advanced imaging systems with nanophotonic/metasurface technologies (advisors: Prof. Byoungho Lee, Prof. Yoonchan Jeong, Optical Engineering and Quantum Electronics Lab).
đź’ˇ My research interest is bridging the gap between optical system design and learned signal reconstruction, developing next-generation intelligent imaging systems that integrate physics and machine intelligence.
Interests
- Computational Imaging
- Inverse Problems
- Generative Models
- Metasurfaces & Nano-Optics
Education
- Ph.D. in Electrical and Computer EngineeringSeoul National University · 2021 – present
- B.S. in Electrical and Computer EngineeringSeoul National University · 2016 – 2021
News
Aug 08, 2026
Our paper “Metric 3D Height Reconstruction from 2D SEM Images via Confidence-Weighted Fusion of Stereo and Four-Channel Photometric Cues” accepted to ISOCC 2026.
May 26, 2026
An updated version of our paper “Self-Cascaded Diffusion Models for Arbitrary-Scale Image Super-Resolution” is now available on arXiv. The code will be released soon.
May 01, 2026
Our paper “Triadic Dynamics Aware Diffusion Posterior Sampling for Inverse Problems: Optimizing Guidance and Stochasticity Schedules” accepted to ICML 2026.
Jun 09, 2025
Our paper “Self-Cascaded Diffusion Models for Arbitrary-Scale Image Super-Resolution” preprint released on arXiv.
May 12, 2025
Our paper AIM 2024 Challenge on UHD Blind Photo Quality Assessment accepted to ECCV 2024 Workshops.
Mar 29, 2025
Our paper “Geometrical Properties of Text Token Embeddings for Strong Semantic Binding in Text-to-Image Generation” preprint released on arXiv.