I am a Ph.D student in the Korea Advanced Institution of Science and Technology(KAIST), advised by Prof. Jong Chul Ye.

My current research explores the intersection of 3D/4D scene generation and World Models, focusing on how generative AI can build comprehensive representations of environmental dynamics to solve intricate real-world challenges.

Publications

• Zero4D:  Training-Free 4D Video Generation From Single Video Using Off-the-Shelf Video Diffusion Model [Paper] [Project Page]

Jangho Park, Taesung Kwon, Jong Chul Ye

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Findings, 2026 

• Unified Editing of Panorama, 3D Scenes, and Videos Through Disentangled Self-Attention Injection [Paper] [Project Page]

Gihyun Kown, Jangho Park, Jong Chul Ye

Preprint (Arxiv, 2024)

• ED-NeRF: Efficient Text-guided Editing of 3D scene using Latent Space NeRF [Paper] [Project Page]

Jangho Park*, Gihyun Kwon*, Jong Chul Ye

International Conference on Learning Representations (ICLR), 2024

Research Experience

Naver AI Lab - Generation Research Team, South Korea  (Host: Jin-Hwa Kim)

• Research intern, 2025.March - 2025.Sep

Education

Ph.D in Graduate School of AI

• Korea Advanced Institution of Science and Technology(KAIST), 2024 - present

M.S in Electrical Engineering, Robotics Program

• Korea Advanced Institution of Science and Technology(KAIST), 2022 - 2024

B.S in Mechatronics Engineering

• Chungnam National University, 2016 - 2022

Reviewer Experiences

• Top-tier Machine Learning Conferences: NeurIPS(2025), ICLR(2025, 2026), ICCV(2025), CVPR(2026), ECCV(2026)