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 ...
School of Computer Science and Engineering · KOREATECH
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.
News
Sakang Hong, Haeyun Lee, Gunha Hong, Jinyoung Jung, Sanga Ahn, Kyungsu Lee, /“SFXGraph: Causal-Compositional Graph Learning for Stylized ...
Eunsun Yun, Heechul Lim, Haeyun Lee, Kang-Wook Chon, Minjoong Jeong, /“QueCo: Query-Conditioned Consensus over Unverified Evidence for Tr...
Jaesung Rim, Woohyeok Kim, Haeyun Lee, Heemin Yang, Ke Wang, Sunghyun Cho, "Augmenting Construction Safety Datasets with Training-Free Di...
Seong-Hyun Kim, Minseong Kim, Sewoong Kim, Haeyun Lee†, "Augmenting Construction Safety Datasets with Training-Free Diffusion-Based PPE E...