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

My primary research goal is to enhance machines' understanding of the real world through computer vision systems, effectively addressing real-world problems. Currently, my research focuses on integrating 3D/4D and generative models to empower machines in addressing complex real-world problems. 

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

Preprint (Arxiv, 2025)

• 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

The Twelfth 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)