ECCV, 2026
About me
I'm Wooseok Lee, a Ph.D. student in Electrical and Computer Engineering (ECE) at Seoul National University, supervised by Prof. Kyoung Mu Lee. My research focuses on low-level image restoration, with a particular emphasis on practical real-world image denoising.
Especially, I study self-supervised denoising methods that recover clean images from noisy observations without ground-truth (GT) clean images. I aim to develop reliable approaches that can be trained directly on real-world noisy data, where collecting paired clean targets is often impractical.
Papers
CVPR, 2022
ICCV, 2021
Research projects
Self-supervised Raw Real-world Image Denoising
Hanwha Techwin
Self-supervised Scanning Electron Microscope (SEM) Image Denoising
Samsung Electronics (Semiconductor R&D Center)
Tunable Software Image Signal Processing
Samsung Electronics (SAIT)
Camera Image Restoration using Large AI Models
Samsung Electronics (MX)
AI-driven Optimal Formulation Technology to Enhance Zinc Oxide Yield
Taekyung SBC