Jaehoon Jang

I received my Master's degree from the 3D Vision & Robotics lab at UNIST, supervised by Prof. Kyungdon Joo. I am broadly interested in 3D computer vision and deep learning. Recently, my research focuses on creating 3D contents with neural rendering, implicit neural representations, and generative models.

I was a visiting scholar at Visual Computing Group, Harvard, supervised by Prof. Hanspeter Pfister, and working closely with Dr. Wanhua Li.

I am currently looking for a full-time research engineer / researcher position!

CV / Email / LinkedIn / Github

Publications

(*: Equal contribution)

	Practical 3D Gaussian Splatting for Indoor Scenes Seungoh Han, Jaehoon Jang, Hyunsu Kim, Jaeheung Surh, Hyowon Ha‡, Kyungdon Joo‡ Under review
	Physical Interaction-Guided 3D Human Generation Dongjun Gu, Jaehyeok Shim, Jaehoon Jang, Changwoo Kang, Kyungdon Joo Under review
	AiSDF: Structure-aware Neural Signed Distance Fields in Indoor Scenes Jaehoon Jang, Inha Lee, Minje Kim, Kyungdon Joo ICRA 2025 / RA-L 2024 [ Project page \| arXiv ] Given a stream of posed depth images, we propose a structure-aware online SDF reconstruction framework for indoor scenes under the Atlanta world assumption.
	ContactGen: Contact-Guided Interactive 3D Human Generation for Partners Dongjun Gu, Jaehyeok Shim, Jaehoon Jang, Changwoo Kang, Kyungdon Joo AAAI 2024 [ Project page \| arXiv ] Generating a interactive 3D human avatar considering physical contact.

Awards

Winner of AI Technology Open Workshop, UNIST, 2024 (Gifted by HD Hyundai)

Education

M.S in Artificial Intelligence Graduate School, UNIST (2022.03 ~ 2025.02)

Bachelor in Automobile engineering, Kookmin Univ (2016.03. ~ 2022.02)

Projects

Novel view synthesis, funded by Bucketplace (2023.09 ~ 2024.08)

Commonsense based 3D human pose estimation, funded by IITP (2022.03 ~ 2023.08)

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