Visual Intelligence Visual Intelligence

School of Computer Science and Engineering · KOREATECH

Restoring and generating images, held to two standards: looking right, and being right.

Visual Intelligence Lab builds models that recover clean images and video from degraded captures, and that generate new ones under precise control. Looking right only has to convince the eye. Being right means staying faithful enough to measure, train on and trust — that harder standard is where the interesting problems live.

01 Restoration

Denoising, deblurring, outpainting and super-resolution — from RAW sensor data to broadcast video — that recovers what was really there.

02 Synthesis

Controllable generation and editing, and synthetic data that actually trains detection, segmentation and anomaly models.

31 publications 3 research areas 2 funded projects Open for graduate applicants

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NewsPaper

Our paper accepted to ACCV 2026

Sakang Hong, Haeyun Lee, Gunha Hong, Jinyoung Jung, Sanga Ahn, Kyungsu Lee, /“SFXGraph: Causal-Compositional Graph Learning for Stylized ...

NewsPaper

Our paper accepted to CVPR 2026

Jaesung Rim, Woohyeok Kim, Haeyun Lee, Heemin Yang, Ke Wang, Sunghyun Cho, "Augmenting Construction Safety Datasets with Training-Free Di...