I am a Ph.D student at Seoul National University computer vision lab, advised by Prof. Kyoung Mu Lee.
My research interests include image restoration and generation at the application level. My previous works involve real-world restoration, which aims to reconstruct high-quality images from real-world scenarios, and task-driven restoration, which restores low-quality images to enhance the performance of high-level vision tasks.
I am also interested in generative models, including Generative Adversarial Networks (GANs) and diffusion models, particularly in the context of image processing.
You can download my CV in Here📃.
🔥 News
📝 Publications
Beyond Image Super-Resolution for Image Recognition with Task-Driven Perceptual Loss
(First author) Jaeha Kim, Junghun Oh, and Kyoung Mu Lee
- A new paradigm of super-resolution that is helpful for image recognition.
- Code
Recovering 3D Hand Mesh Sequence from a Single Blurry Image: A New Dataset and Temporal Unfolding
(Co-First author) Yeoung Uk Oh*, JoonKyu Park*, Jaeha Kim*, Gyeongsik Moon, Kyoung Mu Lee
- A new practical problem, 3D hand pose estimation under a blur scenario.
- Code
Toward Real-World Super-Resolution via Adaptive Downsampling Models
(Co-First author) Sanghyun Son*, Jaeha Kim*, Wei-Sheng Lai, Ming-Hsuan Yang, Kyoung Mu Lee
🎖 Honors and Awards
- 2019.02 National Scholarship (Undergraduate), Korea Student Aid Foundation.
📖 Educations
- 2019.09 - present, Seoul National University, Seoul, Korea.
- 2015.03 - 2019.02, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea.
- 2013.03 - 2015.02, Incheon Science High School, Incheon, Korea.