Jinhyeok Choi
I am a second-year Ph.D. student at KAIST AI, Seoul, South Korea, advised by Prof. Seungryong Kim. My research lies at the intersection of 3D/4D computer vision and generative models, with a particular interest in leveraging 3D/4D representations for geometrically consistent multi-view and video generation, as well as exploring generative approaches to 3D/4D reconstruction and creation, from dynamic objects to large-scale environments. Currently, I focus on advancing video world models to maintain long-term scene consistency and capture the underlying 3D geometry of the world, while enabling efficient generation and memory usage.
Prior to joining KAIST, I received the B.S. degree in Computer Science and Engineering at Korea University, Seoul, South Korea.
News
| Nov. 2026 | 🚀 My two recent papers, L3G-World and World Observer are now out! Check out the project pages for details. |
|---|---|
| Jun. 2026 | 🚀 My two recent papers, MORPHOS and GeoFace are now out! Check out the project pages for details. |
| Jun. 2026 | 🎉 Two papers accepted to ECCV 2026! Check Seoul World Model and Geometric Latent Diffusion. |
| Feb. 2026 | 🎉 Two papers accepted to CVPR 2026, including my first lead-author paper CAMEO! |
| Sep. 2025 | Started my Ph.D studies at KAIST AI ! |
Selected publications
- arXiv 2026
L3G-World: Real-Time Infinite World Generation with Latent 3D Gaussian MemoryarXiv preprint, 2026 - arXiv 2026
World Observer: Joint Actor-Observer Generation for Persistent World ModelingarXiv preprint, 2026 - arXiv 2026
MORPHOS: Autoregressive 4D Generation with Temporal Structured LatentsarXiv preprint, 2026 - arXiv 2026
GeoFace: Consistent Multi-View Face Generation with Geometry-Constrained DiffusionarXiv preprint, 2026 - ECCV 2026
Grounding World Simulation Models in a Real-World MetropolisECCV, 2026 Spotlight - ECCV 2026
Repurposing Geometric Foundation Models for Multi-view DiffusionECCV, 2026 Oral - CVPR 2026
CAMEO: Correspondence-Attention Alignment for Multi-View Diffusion ModelsCVPR, 2026 - CVPR 2026
Attribute-Preserving Pseudo-Labeling for Diffusion-Based Face SwappingCVPR, 2026
Education
| | Ph.D. in Artificial Intelligence KAIST AI, Seoul, South Korea Advised by Prof. Seungryong Kim | Sep. 2025 - Present |
| | B.S. in Computer Science and Engineering Korea University, Seoul, South Korea Graduated with Great Honor (GPA: 4.42/4.5) | Mar. 2022 - Aug. 2025 |