Hyeongseok Son, Gunhee Lee, Sunghyun Cho and Seungyong Lee won the Best Paper Award for their work on “Naturalness-Preserving Image Tone Enhancement Using Generative Adversarial Networks”!
Junyong Lee, Sungkil Lee, Sunghyun Cho, Seungyong Lee, “Deep Defocus Map Estimation using Domain Adaptation”, In Proc. CVPR, June 2019
Hyomin Kim won the best poster award.
The research goal of Computer Graphics Lab is to develop software and tools for various graphics applications. To achieve the goal, we are currently focusing on 3D reconstruction, face reconstruction, scene understanding, image registration, image enhancement, video processing and new media processing. Recently, we have applied machine learning techniques, especially deep learning, to many computer graphics applications. We always try to pursue a good quality of techniques and create new applications with an innovation and a creativity.
RGB-D images, Texture optimization,
Non-rigid 3D reconstruction, Face reconstruction, …
Deblurring, Upright adjustment, HDR, Texture filtering, …
Super-resolution, Color enhancement,
Composition enhancement, Video stabilization, Personalization, …
360 image and video processing, Augmented reality, …
