Resume
Academic Achievements
- Publications:
- - ICLR’24: Denoising Task Routing for Diffusion Models
- - ECCV’24: Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-Experts
- - AAAI’25: Diffusion Model Patching via Mixture-of-Prompts
- - TPAMI’24: Bridging Implicit and Explicit Geometric Transformation for Single-Image View Synthesis
- - CVPR’24: HarmonyView: Harmonizing Consistency and Diversity in One-Image-to-3D
- - CVPR’25: SplatFlow: Multi-View Rectified Flow Model for 3D Gaussian Splatting Synthesis
- - ICCV’25a: VideoRFSplat: Direct Scene-Level Text-to-3D Gaussian Splatting Generation with Flexible Pose and Multi-View Joint Modeling
- - ICCV’25b: SteerX: Creating Any Camera-Free 3D and 4D Scenes with Geometric Steering
- Awards:
- - Finalist, Qualcomm Innovation Fellowship 2024 Korea
Research Experience
- - [Aug. 2025 ~ Present]: Research Scientist @ EverEx (Mandatory Military Service)
- - [Mar. 2018 ~ Aug. 2018]: AI Research Intern @ Koh Young Technology
Education
- - [Mar. 2020 ~ Aug. 2025]: Ph.D. in School of Electrical Engineering @ KAIST
- - [Mar. 2015 ~ Feb. 2020]: B.S. in School of Electrical Engineering @ KAIST - Graduated Cum Laude
- - [Mar. 2013 ~ Feb. 2015]: Gyeongnam Science High School
Background
- Research Interests: Diffusion Model Architecture, 3D Generation, X-Series
- Field: Electrical Engineering
- Summary: Dedicated to the seamless integration of generative models with neural scene representations to create high-quality 3D/4D worlds.