Kyeongmin Yeo

KAIST '22

Visual AI Lab Intern

Generative AI & Computer Graphics Enthusiast

I am currently a senior undergraduate student in KAIST. I’ve been a research intern at the KAIST Visual AI Lab since the winter of 2023. My research mainly focuses on generative AI, especially diffusion-based and flow-based models. I am particularly interested in the application of these models in computer vision and content creation.

selected publications

Ψ-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models

Taehoon Yoon^*, Yunhong Min^*, Kyeongmin Yeo^*, and 1 more author

In NeurIPS 2025, 2025
ORIGEN: Zero-Shot 3D Orientation Grounding in Text-to-Image Generation

Yunhong Min^*, Daehyeon Choi^*, Kyeongmin Yeo, and 2 more authors

In NeurIPS 2025, 2025
Neural Green’s Functions

Seungwoo Yoo, Kyeongmin Yeo, Jisung Hwang, and 1 more author

In NeurIPS 2025, 2025
StochSync: Stochastic Diffusion Synchronization for Image Generation in Arbitrary Spaces

Kyeongmin Yeo^*, Jaihoon Kim^*, and Minhyuk Sung

In The Thirteenth International Conference on Learning Representations, 2025
Neural Pose Representation Learning for Generating and Transferring Non-Rigid Object Poses

Seungwoo Yoo, Juil Koo, Kyeongmin Yeo, and 1 more author

In NeurIPS 2024, 2024
SyncTweedies: A General Generative Framework Based on Synchronized Diffusions

Jaihoon Kim^*, Juil Koo^*, Kyeongmin Yeo^*, and 1 more author

In NeurIPS 2024, 2024