😃 About me
I’m a Ph.D. student at Artificial Intelligence & Machine Learning (U-AIM) Lab. in KAIST, under the supervision of Prof. Chang D. Yoo. My primary research interests focus on the application of generative models in the field of computer vision. Starting from image/video generation and editing, I have recently been focusing on 3D/4D generation and reconstruction. My long-term goal is to integrate these directions toward building generative world models that can perceive, reconstruct, and simulate the 3D world.
My research interest includes:
- 3D/4D Reconstruction, Generation
- World Models and Simulation
🔥 News
- 2026.06: 🎉 Two papers accepted to ECCV 2026
- 2026.05: 🎉 One paper accepted to ICML 2026
- 2026.03: 🏆 Received the Outstanding Research Achievement Award from KAIST Electrical Engineering.
📝 Conference Publications
2026
[C14] InSpace: Structure-Aware 3D Indoor Scene Generation from a Single 360° Image
Gwanhyeong Koo, Hyunsu Kim, Youngji Kim, Taejae Lee, Siwoo Lim, Sunjae Yoon, Suyong Yeon†, Chang D. Yoo†
ECCV 2026
*Work done during the internship at NAVER LABS
[C13] TanGO: Training-Free 3D Editing via Tangent-Space Guidance and Optimization
Siwoo Lim, Sunjae Yoon, Gwanhyeong Koo, Hyeonseo Yun, Chang D. Yoo
ECCV 2026
[C12] GADA: Geometry-Aware Deformable Aggregation for Image-Based Gaussian Splatting
Siwoo Lim, Sunjae Yoon, Gwanhyeong Koo, Chang D. Yoo
ICML 2026
[C11] PDCR: Perception-Decomposed Confidence Reward for Vision-Language Reasoning
Hee Suk Yoon, Eunseop Yoon, Ji Woo Hong, SooHwan Eom, Gwanhyeong Koo, Mark A. Hasegawa-Johnson, Qi Dai, Chong Luo, Chang D. Yoo
CVPR 2026
2025
[C10] Occlusion-robust Stylization for Drawing-based 3D Animation
Sunjae Yoon, Gwanhyeong Koo, Younghwan Lee, Ji Woo Hong, Chang D. Yoo
ICCV 2025, Review Score: 6,6,5 (avg. 5.67/6)
[C9] FlowDrag: 3D-aware Drag-based Image Editing with Mesh-guided Deformation Vector Flow Fields
Gwanhyeong Koo, Sunjae Yoon, Younghwan Lee, Ji Woo Hong, Chang D. Yoo
ICML 2025, Spotlight (313/12107=2.6%)
[C8] ITA-MDT: Image-Timestep-Adaptive Masked Diffusion Transformer Framework for Image-Based Virtual Try-On
Ji Woo Hong, Tri Ton, Trung X. Pham, Gwanhyeong Koo, Sunjae Yoon, Chang D. Yoo
CVPR 2025
2024
[C6] Query-based Cross-Modal Projector Bolstering Mamba Multimodal LLM
SooHwan Eom, Jay Shim, Gwanhyeong Koo, Haebin Na, Mark A. Hasegawa-Johnson, Sungwoong Kim, Chang D. Yoo
EMNLP 2024 (Findings)
[C5] FlexiEdit: Frequency-Aware Latent Refinement for Enhanced Non-Rigid Editing
Gwanhyeong Koo, Sunjae Yoon, Ji Woo Hong, Chang D. Yoo
ECCV 2024
[C3] FRAG: Frequency Adapting Group for Diffusion Video Editing
Sunjae Yoon, Gwanhyeong Koo, Geonwoo Kim, Chang D. Yoo
ICML 2024
[C2] Wavelet-Guided Acceleration of Text Inversion in Diffusion-Based Image Editing
Gwanhyeong Koo, Sunjae Yoon, Chang D. Yoo
ICASSP 2024
2023
💼 Work Experience
Research Intern @ NAVER LABS — Spatial AI Team
2025.09 - 2026.03 · Seongnam-si, South Korea
Mentor: Suyong Yeon
🎖 Honors and Awards
- 2026.03 Received the Outstanding Research Achievement Award from KAIST Electrical Engineering.
- 2025.06 CVPR Outstanding Reviewer (2025), Recognized as one of the top 5.64% among 12,582 reviewers for CVPR 2025
- 2024.10 1st Prize 2nd Seoul National University Bundang Hospital (SNUBH) Datathon Award
- 2023.11 Best Paper Award, Winter Conference, Korean Artificial Intelligence Association (JKAIA), 2023
- 2022.09 TensorFlow Developer Certificate
- 2019.10 Bronze Award in 2019 International University Student Creative Car Competition, in Autonomous Driving
📖 Educations
- 2024.09 - Present, Ph.D. in Electrical Engineering. (KAIST)
- 2023.03 - 2024.08, M.S. in Electrical Engineering (Devision of Future Vehicle). (KAIST)
- 2017.03 - 2023.02, B.S. in Electric Engineering. (DGIST)
🎯 Projects
- 2023 - 2025, Oriented Object Detection in Optical Remote Sensing Image, Hanwha Systems
🎨 Academic Services
- Conference Reviewer: ECCV’24, ICASSP’25, CVPR’25, ICML’25, SIGGRAPH’25, ACM MM’25, NeurIPS’25, WACV’26, AAAI’26, ICLR’26, ICASSP’26, CVPR’26, ECCV’26, SIGGRAPH Asia’26, NeurIPS’26
- Journal Reviewer:
- IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
- Pattern Recognition
- Transactions on Machine Learning Research (TMLR)
- Expert Systems With Applications
✏️ Teaching Assistant
- [EE531] Statistical Learning Theory: 2025 Spring, 2026 Spring
- [EE331] Introduction to Machine Learning: 2024 Fall