Jaesung Rim, Haeyun Lee, Jucheol Won, Sunghyun Cho, “Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms”, European Conference on Computer Vision (ECCV 2020), Accepted for publication Taeyoung …
Our projects (Professor Seungyoung Lee and Sunghyun cho) were selected for joint research projects with Microsoft Research Asia (MSRA), which has excellent AI research capabilities. Link
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”!
The primary goal of our research is to develop algorithms and techniques that can help create and enhance visual contents such as images and videos. To this end, we study various research problems that include image/video restoration and enhancement, human-computer interaction, 3D reconstruction, and various other graphics applications such as 2D/3D caricatures. We also actively study deep learning algorithms to create more intelligent solutions to these problems. We value the transfer of academic results to industry. Our technologies on image deblurring and photo upright adjustment have been transferred to Adobe Creative Cloud and Adobe Photoshop Lightroom.
