cv
My simple CV :)
Basics
| Name | Kyeongmin Yeo |
| Label | M.S. Student |
| aaaaa@kaist.ac.kr | |
| Url | https://32V.github.io/ |
| Summary | M.S. student at KAIST Visual AI Lab, conducting research on generative models and computer graphics. Interested in generative modeling and visual content generation, including images, videos, and textures. |
Work
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2023.12 - Present Daejeon, South Korea
M.S. Student
KAIST Visual AI Lab Conducting research on generative models and 3D computer graphics under the supervision of Prof. Minhyuk Sung.
Education
Publications
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2025 StochSync: Stochastic Diffusion Synchronization for Image Generation in Arbitrary Spaces
ICLR 2025 A stochastic diffusion synchronization framework for image generation in arbitrary spaces. -
2025 Neural Green's Functions
NeurIPS 2025 A neural solution operator for linear partial differential equations inspired by Green's functions. -
2025 ORIGEN: Zero-Shot 3D Orientation Grounding in Text-to-Image Generation
NeurIPS 2025 A method for zero-shot 3D orientation grounding in text-to-image generation. -
2025 Ψ-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models
NeurIPS 2025 A novel initial particle sampling method for SMC-based inference-time reward alignment in score models. -
2024 SyncTweedies: A General Generative Framework Based on Synchronized Diffusions
NeurIPS 2024 A general framework for generating diverse visual content by synchronizing multiple diffusion processes. -
2024 Neural Pose Representation Learning for Generating and Transferring Non-Rigid Object Poses
NeurIPS 2024 A neural pose representation for generating and transferring non-rigid object poses.
Awards
- 2025
- 2025
- 2024
College of Engineering Leadership Award
KAIST College of Engineering - 2023
Department Honors Scholarship
KAIST School of Computing - 2022
- 2022
National Excellence Scholarship (Natural Sciences and Engineering)
Korea Student Aid Foundation