I am a Ph.D. student at the Computer Vision Lab, Seoul National University, advised by Prof. Kyoung Mu Lee.

My research focuses on application-oriented image restoration, with a primary emphasis on task-driven image restoration, which develops restoration models to improve the performance of downstream high-level vision tasks. Motivated by challenges in practical deployment, my previous work also includes real-world image restoration, which aims to recover high-quality images from realistically degraded inputs.

Recently, I have been particularly interested in leveraging foundation models, such as diffusion models and vision-language models, as powerful priors and tools for image restoration.

You can download my CV here 📄.

🔥 News

  • 2025.06:  🎉🎉 One paper got accepted to ICCV 2025!
  • 2025.06:  🎉🎉 Recognized as Outstading Reviewer at CVPR 2025!
  • 2024.02:  🎉🎉 One paper got accepted to CVPR 2024!

📝 Publications

ICCV 2025
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Exploiting Diffusion Prior for Task-driven Image Restoration (First author) Jaeha Kim, Junghun Oh, and Kyoung Mu Lee

  • Task-driven diffusion-based image restoration for improved high-level vision tasks.
  • Code
CVPR 2024
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Beyond Image Super-Resolution for Image Recognition with Task-Driven Perceptual Loss (First author) Jaeha Kim, Junghun Oh, and Kyoung Mu Lee

  • A task-driven super-resolution framework for image recognition.
  • Code
CVPR 2023
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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 benchmark for 3D hand pose estimation under blur.
  • Code
TPAMI 2021
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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

  • Adaptive degradation modeling for real-world image super-resolution.
  • Project / Code

🎖 Honors and Awards

  • 2025.06 Outstanding Reviewer (Top 5%), CVPR 2025.
  • 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.