Ting-Hsuan Chen — accepted AI-conference papers

2026

Pantheon360: Taming Digital Twin Generation via 3D-Aware 360deg Video Diffusion

Ting-Hsuan Chen, Ying-Huan Chen, Tao Tu, Jie-Ying Lee, Cho-Ying Wu, Fangzhou Lin +7

CVPR 2026

Generating complete digital twins from videos requires precise camera control, global scene coverage, and strict spatial-temporal consistency--constraints that remain challenging for perspective video generators due to their limited field of view (FoV). Their narrow FoV forces long or multi-view tra

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2024

NaRCan: Natural Refined Canonical Image with Integration of Diffusion Prior for Video Editing

Ting-Hsuan Chen, Jiewen Chan, Hau-Shiang Shiu, Shih Han Yen, Changhan Yeh, Yu-Lun Liu

NeurIPS 2024poster

We propose a video editing framework, NaRCan, which integrates a hybrid deformation field and diffusion prior to generate high-quality natural canonical images to represent the input video. Our approach utilizes homography to model global motion and employs multi-layer perceptrons (MLPs) to capture…

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