Jiho Park

I'm a 1st year MS student at KAIST AI, advised by Prof. Seungryong Kim.
How can we enable machines to understand the visual world at a human level?
I explore representation learning, generative modeling, and robot learning to find out.

Email  /  CV  /  Google Scholar

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📖 Publications

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Better Source, Better Flow: Learning Condition-Dependent Source Distribution
for Flow Matching

Junwan Kim*, Jiho Park*, Seonghu Jeon, Seungryong Kim

arXiv preprint (under review)

[Project Page] [Paper] [Code]

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CAMEO: Correspondence-Attention Alignment for Multi-View Diffusion Models

Minkyung Kwon*, Jinhyeok Choi*, Jiho Park*, Seonghu Jeon, Jinhyuk Jang, Junyoung Seo, Minseop Kwak, Jin-Hwa Kim, Seungryong Kim

CVPR 2026

[Project Page] [Paper] [Code]

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ReNoV: Projected Representation Conditioning for High-fidelity Novel View Synthesis

Minseop Kwak*, Minkyung Kwon*, Jinhyeok Choi*, Jiho Park, Seungryong Kim

arXiv preprint

[Project Page] [Paper] [Code]

🛠️ Projects

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Video-to-3D: Recurrent Feed-Forward Semantic Gaussian Splatting
Oct 2024 - Dec 2024
  • Fine-tuned recurrent 3D geometry models to predict semantic Gaussian Splatting.
  • Implemented an open-vocab 3D segmentation pipeline.
  • Grateful to have worked with Zhiwen Fan!
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Coarse-to-Fine Imitation Learning with Hierarchical Action Sequence Quantization
Apr 2024 - Jun 2024
  • Implemented VAR (hierarchical VQ-VAE & autoregressive transformer) with
    FSQ (Finite Scalar Quantization) on state-action sequence datasets.

🎓 Education

KAIST Mar 2026 - Present
M.S. in Artificial Intelligence
The University of Texas at Austin Aug 2024 - Dec 2024
Exchange Student in Electrical and Computer Engineering
GPA: 4.0/4.0
Yonsei University Mar 2019 - Feb 2026
B.S. in Electrical & Electronic Engineering
GPA: 4.10/4.30