Gwanhyeong Koo

Gwanhyeong Koo

Ph.D. student at KAIST in Electrical Engineering

😃 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. I have conducted research in image/video editing and am particularly interested in extending this work to areas such as 3D vision and interactive applications to enhance user experience.

My research interest includes:

  • Computer Vision
  • Generative Models
  • Large Language Models (LLMs)

🔥 News

  • 2025.06:  🎉 One paper accepted to ICCV 2025
  • 2025.06:  🎉 I am recognized as an outstanding reviewer (top 5.64%) for CVPR 2025
  • 2025.05:  🎉 One paper accepted to ICML 2025 (Spotlight, top 2.6%)
  • 2025.02:  🎉 One paper accepted to CVPR 2025
  • 2024.09:  🎉 One paper accepted to NeurIPS 2024

📝 Conference Publications

2025

ICCV 2025
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[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)

ICML 2025
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[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%)

CVPR 2025
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[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

[code] [project page]

2024

NeurIPS 2024
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[C7] TPC: Test-time Procrustes Calibration for Diffusion-based Human Image Animation

Sunjae Yoon, Gwanhyeong Koo, Younghwan Lee, Chang D. Yoo

NeurIPS 2024

[code]

EMNLP 2024
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[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)

ECCV 2024
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[C5] FlexiEdit: Frequency-Aware Latent Refinement for Enhanced Non-Rigid Editing

Gwanhyeong Koo, Sunjae Yoon, Ji Woo Hong, Chang D. Yoo

ECCV 2024

[code] [project page] [poster]

ECCV 2024
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[C4] Dilutional Noise Initialization for Dilution Video Editing

Sunjae Yoon, Gwanhyeong Koo, Ji Woo Hong, Chang D. Yoo

ECCV 2024

ICML 2024
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[C3] FRAG: Frequency Adapting Group for Diffusion Video Editing

Sunjae Yoon, Gwanhyeong Koo, Geonwoo Kim, Chang D. Yoo

ICML 2024

[code] [project page]

ICASSP 2024
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[C2] Wavelet-Guided Acceleration of Text Inversion in Diffusion-Based Image Editing

Gwanhyeong Koo, Sunjae Yoon, Chang D. Yoo

ICASSP 2024

2023

ICCV 2023
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[C1] SCANet: Scene Complexity Aware Network for Weakly-Supervised Video Moment Retrieval

Sunjae Yoon, Gwanhyeong Koo, Dahyun Kim, Chang D. Yoo

ICCV 2023

🎖 Honors and Awards

  • 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
  • Journal Reviewer: IEEE TPAMI

✏️ Teaching Assistant

  • [EE531] Statistical Learning Theory: 2025 Spring
  • [EE331] Introduction to Machine Learning: 2024 Fall