Youngho Yoon
About Me
I am a Postdoctoral Researcher at KAIST, advised by Prof. Kuk-Jin Yoon at the Visual Intelligence Laboratory. I received my Ph.D. (2026) and B.S. (2020) in Mechanical Engineering (minor in Electrical Engineering) from KAIST, with an exchange semester at the Technical University of Denmark (DTU) in 2019.
My research centers on Computer Vision and AI, with a focus on generative models, reinforcement learning for vision, 3D / novel-view synthesis, and computational photography.
Feel free to reach me at dudgh1732 (at) kaist.ac.kr.
Research Interests
- Generative Models — diffusion-based image/video/3D generation and editing
- Reinforcement Learning for Vision — RL-driven refinement of generative and perception models
- 3D Vision — Gaussian Splatting, neural rendering, novel-view synthesis, implicit surface reconstruction
- Computational Photography — super-resolution, image restoration, adverse-weather removal, image stitching
News
- [May. 2026] Selected for Doctoral Consortium at CVPR 2026.
- [May. 2026] Selected as an Outstanding Reviewer (Top 5%) for CVPR 2026.
- [Jan. 2026] Paper ExPose: Reinforcing Video Generation Models for Extreme Pose Estimation accepted to CVPR 2026.
- [Jan. 2026] Paper ReSplat: Degradation-agnostic Feed-forward Gaussian Splatting via Self-guided Residual Diffusion accepted to ICLR 2026.
- [Mar. 2026] Started as a Postdoctoral Researcher at KAIST after completing my Ph.D.
- [Nov. 2025] Finished a research internship at NAVER LABS (Jun. – Nov. 2025).
- [Jul. 2025] Two papers accepted to ICCV 2025.
- [Jul. 2024] Paper on generalizable neural rendering accepted to ECCV 2024.
- [Mar. 2023] Paper on multi-view SR for novel-view synthesis accepted to CVPR 2023.
- [Mar. 2022] SphereSR selected for Oral Presentation at CVPR 2022.
Education
- Ph.D. in Mechanical Engineering, KAIST — Mar. 2020 – Feb. 2026 (Advisor: Prof. Kuk-Jin Yoon)
- Exchange Program, Technical University of Denmark (DTU) — Feb. 2019 – May 2019
- B.S. in Mechanical Engineering (Minor in Electrical Engineering), KAIST — Mar. 2015 – Feb. 2020
- Gyeongnam Science High School — Mar. 2012 – Feb. 2014
Experience
- Postdoctoral Researcher, KAIST — Mar. 2026 – Present
- Research Intern, NAVER LABS — Jun. 2025 – Nov. 2025
Publications
* denotes equal contribution.
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Preprint
PriSplat: Propagating Reliable Multi-view Information for Distractor-Free 3DGSPreprint / Under Review. -
CVPR
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. -
ICLR
The Fourteenth International Conference on Learning Representations (ICLR), 2026. -
IEEE Access
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ICCV
International Conference on Computer Vision (ICCV), 2025. -
ICCV
International Conference on Computer Vision (ICCV), 2025. -
ECCV
The 18th European Conference on Computer Vision (ECCV), 2024. -
CVPR
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. -
AAAI
Association for the Advancement of Artificial Intelligence (AAAI), 2023. -
CVPR
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.PDF Oral Presentation
Projects
- AI Research for Intelligent X-ray Luggage Scanning System — multi-view X-ray imaging, object detection. 2022 – 2024.
- Situational Awareness System to Prevent Collisions for Autonomous Ships — image restoration, object detection. 2021 – 2022.
Honors & Awards
- Encouragement Award, Best Paper Awards, IPIU 2023 (35th Workshop on Image Processing and Image Understanding).
- Dean's List, College of Engineering, KAIST — Spring 2017 & Fall 2017.
- Outstanding Award, Department of Mechanical Engineering, KAIST, 2017.
Academic Services
- Conference Reviewer: CVPR, ICCV, ECCV, ICLR.
- Journal Reviewer: IEEE TPAMI, IJCV.
Skills
Programming & Tools: Python, PyTorch, OpenCV, MATLAB, Docker.
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