Haeyun Choi

I am an incoming Ph.D. student in the School of Data Science at the University of Virginia, advised by Prof. Cheng Peng and Prof. Lei Li. Before beginning my Ph.D., I am working as a Research Scientist at KT R&D Center on vision-language-action (VLA) model development. I received my M.S. in Artificial Intelligence from POSTECH, where I was a member of the Computer Graphics Lab advised by Prof. Sunghyun Cho.

My research interests lie broadly in computer vision and computer graphics, with a focus on building visual systems for real-world scenarios. I am particularly interested in 3D scene representation and neural rendering under challenging conditions such as blur, noise, and sparse observations. More broadly, I aim to develop reliable visual intelligence systems at the intersection of vision, graphics, multimodality, and generative models.

Portrait of Haeyun Choi

News

Aug. 2026 I will begin my Ph.D. at the University of Virginia School of Data Science.
Mar. 2025 I joined KT R&D Center as a Research Scientist.
Feb. 2025 I received my M.S. in Artificial Intelligence from POSTECH.

Publications

Teaser for Cascaded 2D-to-3D Multi-view Consistency for 3D Gaussian Splatting from Two Blurry Images

Cascaded 2D-to-3D Multi-view Consistency for 3D Gaussian Splatting from Two Blurry Images

Haeyun Choi*, MinHyuk Jang*, I-Gil Kim

Under Review, 2026

* Equal contribution

Teaser for Exploiting Deblurring Networks for Radiance Fields
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Exploiting Deblurring Networks for Radiance Fields

Haeyun Choi, Heemin Yang, Janghyuk Han, Sunghyun Cho

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, TN, 2025

Outstanding Paper Award at IPIU 2025.

Teaser for optical flow-based shakiness detection
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Optical Flow-based Shakiness Detection in Dash-cams for Hit-and-Run Accident Analysis

Haeyun Choi, Sunghyun Cho

Workshop on Image Processing and Image Understanding (IPIU), Jeju, Korea, 2024

Teaser for AutoCycle-VC

AutoCycle-VC: Towards Bottleneck-Independent Zero-Shot Cross-Lingual Voice Conversion

Haeyun Choi, Jio Gim, Yuho Lee, Youngin Kim, Youngjoo Suh

arXiv Preprint, 2023