Sunyoung Jung

Sunyoung Jung


I am a third-year Ph.D. student at Yonsei University, advised by Prof. Seong Jae Hwang, in the Medical Imaging and Computer Vision (MICV) lab. My doctoral research explores the capabilities of generative models within the domain of computer vision. I am actively working on problems in video generation, motion transfer in video generation, and diffusion models. I am also collaborating with Prof. Ming-Hsuan Yang (UC Merced & Google DeepMind).

I'd love to connect with people who share similar interests! Feel free to reach out via email!


New! 🎉



Publications (* Equal Contribution)


Controlling Motion Transfer in Diffusion Transformers via Attention Heads

Sunyoung Jung*, Jiwoo Park*, Yoonseok Choi, Kyobin Choo, Ming-Hsuan Yang, Seong Jae Hwang

ECCV 2026

QWERTY teaser

QWERTY: Training-Free Motion Control via Query-Warped Video Diffusion Transformers

Kyobin Choo, Youngmin Kim, Hyunkyung Han, Geunrip Park, Chanyoung Kim, Sunyoung Jung, Seong Jae Hwang

ECCV 2026

Query-Aligned Selective Injection for Mitigating Reference Bias in Motion Transfer

Sunyoung Jung*, Jiwoo Park*, Yeonkyung Lee, Tae Eun Choi, Woojung Han, Seong Jae Hwang

Under Review

AQUA teaser

AQUA: Aligned Query Fusion for Reference-Unbiased and Temporally Consistent Video Motion Transfer

Sunyoung Jung*, Jiwoo Park*, Yeonkyung Lee, Tae Eun Choi, Seong Jae Hwang

ICML 2026 Workshop — From Frames to Stories (F2S)

TMJ Disc Segmentation teaser

Anatomically Consistent TMJ Disc Segmentation via Semantic Anchoring and Clinical Priors

Dayun Ju, Chanyoung Kim, Sunyoung Jung, Hyo-Jung Jung, Chena Lee, Younjung Park, Seong Jae Hwang

MICCAI 2026

Interpreting Vision Transformers teaser

Interpreting Vision Transformers via Residual Replacement Model

Jinyeong Kim*, Junhyeok Kim*, Yumin Shim, Joohyeok Kim, Sunyoung Jung, Seong Jae Hwang

NeurIPS 2025

TESLA teaser

TESLA: Test-time Reference-free Through-plane Super-resolution for Multi-contrast Brain MRI

Yoonseok Choi, Sunyoung Jung, Mohammed A. Al-masni, Ming-Hsuan Yang, Dong-Hyun Kim

MICCAI 2025, Oral presentation, Top 2.2%

Deformation-Aware Segmentation teaser

Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation using Disentanglement Learning

Sunyoung Jung, Yoonseok Choi, Mohammed A. Al-masni, Minyoung Jung, Dong-Hyun Kim

MICCAI 2024


Awards and Honors


Merit-based Scholarship for Science and Engineering Doctoral Students, Korea, 2026

Seoul Future Foundation Scholarship, Korea, 2026

ICMRI Best Trainee Scientific Awards Poster Presentation (Gold), Korea, 2025

ISMRM 2024 Stipend, Korean Society of Magnetic Resonance in Medicine, Korea, 2024

Academic Achievement Award, Yonsei University, Korea, 2019

Academic Activities


Conference Reviewer
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
European Conference on Computer Vision (ECCV), 2026
Neural Information Processing Systems (NeurIPS), 2026