Youngju Na

Ph.D. Candidate

School of Computing, KAIST

CV Google Scholar GitHub

3D Vision, Robotics, and AI Research

I am a second-year Ph.D. student in Scalable Graphics, Vision, and Robotics (SGVR) Lab at KAIST, advised by Sung-Eui Yoon. Last summer, I was fortunate to join the Spatial AI team at NAVER LABS as a research intern (advised by Suyong Yeon). The goal of my research is to empower AI with spatial understanding by reconstructing, generating, and interacting within 3D scenes. Recently, I’ve been focusing on world models, robot vision, motion modeling, and rendering.

yjna2907 [at] kaist.ac.kr Daejeon, Korea 3D Vision • Robotics • AI

Publications

Selected publications. Full publication list, including domestic publications, is available in my CV.

MorphGS: Morphology-Adaptive Articulated 3D Motion Transfer from Videos

Taeyeon Kim^*, Youngju Na^*, Jumin Lee, Sebin Lee, Minhyuk Sung, and Sung-eui Yoon (^*Equal contribution)

ECCV 2026

Project Paper
GLINT: Modeling Scene-Scale Transparency via Gaussian Radiance Transport

Youngju Na, Jaeseong Yun, Soohyun Ryu, Hyunsu Kim, Sung-Eui Yoon, and Suyong Yeon

CVPR 2026 Oral, Best Paper Award Candidate (Top 1.8%)

Project Paper Code
Visual-RRT: Finding Paths toward Visual-Goals via Differentiable Rendering

Sebin Lee^*, Jumin Lee^*, Taeyeon Kim, Youngju Na, Woobin Im, and Sung-Eui Yoon (^*Equal contribution)

CVPR 2026 Highlight

Project Paper
AegisRF: Adversarial Perturbations Guided with Sensitivity for Protecting Intellectual Property of Neural Radiance Fields

Woo Jae Kim, Kyu Beom Han, Yoonki Cho, Youngju Na, Junsik Jung, and Sung-eui Yoon

BMVC 2025

Project Paper Code
POSE-FREE 3D GAUSSIAN SPLATTING VIA SHAPE-RAY ESTIMATION

Youngju Na^*, Taeyeon Kim^*, Jumin Lee, Kyu Beom Han, Woo Jae Kim, Sung-eui Yoon (^*Equal contribution)

ICIP 2025 Best Student Paper Award (Top 0.16%)

Paper Code
UFORecon: generalizable sparse-view surface reconstruction from arbitrary and unfavorable sets

Youngju Na, Woo Jae Kim, Kyu Beom Han, Suhyeon Ha, Sung-Eui Yoon

CVPR 2024

Project Paper Code
Shared knowledge distillation for robust multi-scale super-resolution networks

Youngju Na^*, Hee Hyeon Kim^*, Seok Bong Yoo (^*Equal contribution)

Electronics Letters 2022

Paper
HAZE-Net: High-frequency attentive super-resolved gaze estimation in low-resolution face images

Jun-Seok Yun, Youngju Na, Hee Hyeon Kim, Hyung-Il Kim, Seok Bong Yoo

ACCV 2022

Paper Code
Latentgaze: Cross-domain gaze estimation through gaze-aware analytic latent code manipulation

Isack Lee, Jun-Seok Yun, Hee Hyeon Kim, Youngju Na, Seok Bong Yoo

ACCV 2022

Paper Code

Academic Activities

Reviewer

CVPR
ICCV
ICLR
NeurIPS
Transaction on Computational Imaging

Education

Ph.D in Computer Science, KAIST

Mar. 2025 - current
Master's in Computer Science, KAIST

Mar. 2023 - Feb 2025
B.S. in Industrial Engineering & IoT Artificial Intelligence, Chonnam National University

Mar. 2017 - Feb. 2023

Top Rank (GPA: 4.36 / 4.5, Major GPA: 4.46 / 4.5)

Teaching Experiences

Teaching Assistant, Data Structure (CS206), 2024 Fall, KAIST
Teaching Assistant, Computer Graphics (CS380), 2024 Spring, KAIST
Teaching Assistant, Introduction to Programming (CS101), 2023 Fall, KAIST
Teaching Assistant, Introduction to Algorithm (CS300), 2023 Spring, KAIST

Awards & Honors

Best Paper Award Candidate, CVPR 2026 (GLINT, Top 1.8%)
Best Student Paper Award, ICIP 2025
1st Prize, Harvest Festival Symposium, AI/IoT Section, CNU, 2022
2nd Prize, Silicon Valley Innovation & Startup Program, San Jose university, 2021