Seunghyun Shin

I'm a AI Researcher

About

Learn More About Me

AI Research Scientist

I am a Ph.D. Candidate at AI Graduate School, GIST, advised by Prof. Hae-Gon Jeon. I received B.S. degrees in EECS from GIST in 2020. My research interests include Aesthetic Image/Video Enhancement, Generative Model, Multi-Modal Modeling. Contact me if you have any question for me or my projects.

  • Institution: Gwangju Institute of Science and Technology
  • Degree: PH.D Candidate
  • Email: seunghyuns98@gm.gist.ac.kr
  • Office: 412, EECS Building C(C3)

Research Interest

I'm interested in

Creative AI

Aesthetic Image/Video Enhancement, Video Color Grading, Image Decolorization

Generative Model

3D Look-Up-Table Generation, Kinety Typography Generation, Video Motion Generation

Computational Photography

Image Super Resolution, Denoising, Low-Light Image Enhancement, Depth Upsampling

Resume

Check My Resume

Education

PH.D of AI Graduate School

Mar. 2021 - Present

Gwangju Institute of Science and Technology, Gwangju, South Korea

Advisor: Prof. Hae-Gon Jeon

Bachelor of Electrical Engineering and Computer Science

Mar. 2017 - Feb. 2021

Gwangju Institute of Science and Technology, Gwangju, South Korea

Advisor: Prof. Hae-Gon Jeon

Research Experience

Research Intern

Sep. 2025 - Mar. 2026

Huawei Noah's Ark Lab, London, United Kingdom

Advisor: Prof. Jiankang Deng & Dr. Jifei Song

  • Modality-Agnostic Camera Control for Video Generation

Research Intern

Jun. 2023 - Aug. 2023

Video Processing Lab, University of California, San Diego , United States

Advisor: Prof. Truong Nguyen

  • Aesthetic Video Generation using Language Model and Metric-Learning

Research Intern

Mar. 2020 - Feb. 2021

Visual AI Lab, GIST, South Korea

Advisor: Prof. Hae-Gon Jeon

  • Aesthetic Image De-colorization using Style Transfer and Contrast Preserving

Publications

My Publications

Rebalancing Reference Frame Dominance to Improve Motion in Image-to-Video Models

Wooseok Jeon*, Seungho Park*, Seunghyun Shin, Sangeyl Lee, Hyeonho Jeong and Hae-Gon Jeon (* equally contributed)

Arxiv preprint, 2026

Universal Image Immunization against Diffusion-based Image Editing via Semantic Injection

Chanhui Lee, Donggyu Choi, Seunghyun Shin, Hae-Gon Jeon and Jeany Son

Arxiv preprint, 2026

Motion Prior Distillation in Time Reversal Sampling for Generative Inbetweening

Wooseok Jeon, Seunghyun Shin, Dongmin Shin and Hae-Gon Jeon

International Conference on Learning Representations (ICLR), 2026

CHROMA: Consistent Harmonization of Multi-View Appearance via Bilateral Grid Prediction

Jisu Shin, Richard Shaw, Seunghyun Shin, Zhensong Zhang, Hae-Gon Jeon and Eduardo Pérez-Pellitero

International Conference on Learning Representations (ICLR), 2026

Video Color Grading via Look-Up Table Generation

Seunghyun Shin, Dongmin Shin, Jisu Shin, Hae-Gon Jeon and Joon-Young Lee

International Conference on Computer Vision (ICCV), 2025

Kinetic Typography Diffusion Model

Seonmi Park, Inhwan Bae, Seunghyun Shin, and Hae-Gon Jeon

European Conference on Computer Vision (ECCV), 2024

Close Imitation of Expert Retouching for Black-and-White Photography

Seunghyun Shin, Jisu Shin, Jihwan Bae, Inwook Shim and Hae-Gon Jeon

Computer Vision and Pattern Recognition (CVPR), 2024

Task-specific Scene Structure Representations

Seunghyun Shin*, Jisu Shin* and Hae-Gon Jeon (* equally contributed)

The Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), 2023

Contact

Get in Touch

Location

Room 427, Yonsei Engineering Research Park,
50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea