Personal Information
PERSONAL RESEARCH PROFILE
Joonkyu Park
Computer Vision Researcher
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Personal Information
I am a computer vision researcher at Seoul National University, working under the supervision of Prof. Kyoung Mu Lee. My research focuses on generative image restoration, 3D vision, and human-centric visual intelligence.
Research Interests
- Image Restoration & Diffusion Models
- 3D Vision & Gaussian Splatting
- Human-Object Interaction
Get in touch
jkpark0825@snu.ac.krOpen to research collaboration and academic discussion.
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Selected Publications
ECCV, 2026.
Learning to Corrupt for Better Restoration
ICLR, 2026.
Bridging the Distribution Gap to Harness Pretrained Diffusion Priors for Super-Resolution
ICCVW, 2025.
Mars2 2025 challenge on multimodal reasoning
NeurIPS, 2024.
A 3D Scene-Based Dataset for Realistic Image Deblurring
ECCV, 2024.
3D Hand Sequence Recovery from Real Blurry Images and Event Stream
ArXiv, 2024.
Rethinking RGB Color Representation for Image Restoration Models
SPL, 2023.
Adaptive Context and Latent Information Blending for Face Image Inpainting
ICCVW (Oral), 2023.
Extract-and-Adaptation Network for 3d Interacting Hand Mesh Recovery
ICCV, 2023.
Content-Aware Local Gan for Photo-Realistic Super-Resolution
CVPR, 2023.
Recovering 3d Hand Mesh Sequence from a Single Blurry Image. A new dataset and temporal unfolding
arXiv 2022.
Pay Attention to Hidden States for Video Deblurring, Ping-pong Recurrent Neural Networks and Selective Non-Local Attention
CVPR, 2022.
Occlusion-Robust 3d Hand Mesh Estimation Network
CVPR, 2022.
Learning to Estimate Robust 3d Human Mesh from in-the-wild Crowded Scenes
BMVC, 2021.
Recurrence-in-Recurrence Networks for Video Deblurring
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Selected Projects
IAC-IR
with Samsung MX
DM-SR
Single-Step Real-World Super-Resolution
EBH Dataset
with Meta Reality Lab
Controllable ISP
with Samsung AI Center