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Ting-Hsuan Chen I am currently a master's student in Computer Science at the University of Southern California, advised by Professor Yue Wang. I have previously worked as an R&D engineer at Foxconn and also served as a research assistant in Professor Yu-Lun Liu's laboratory at National Yang Ming Chiao Tung University. |
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ResearchI'm interested in computer vision, deep learning, generative AI, 3D reconstruction, video editing, and image processing. |
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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, 2024 project page / arXiv NaRCan, a video editing framework, integrates a hybrid deformation field network with diffusion priors to address the challenge of maintaining the canonical image as a natural image. |
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DiffIR2VR-Zero: Zero-Shot Video Restoration with Diffusion-based Image Restoration Models
Changhan Yeh, Chin-Yang Lin, Zhixiang Wang, Chi-Wei Hsiao, Ting-Hsuan Chen, Yu-Lun Liu, arXiv, 2024 project page / arXiv This paper introduces a novel zero-shot video restoration method using pre-trained image restoration diffusion models, achieving excellent performance across diverse datasets and extreme video degradations. |
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GPU-SplineTransformer
Ting-Hsuan Chen github, 2022 project page My GPU-Optimized SplineTransformer significantly accelerates the conversion of large data arrays into B-spline bases by leveraging GPU power. This innovation outperforms traditional CPU-based solutions, offering enhanced speed and efficiency for your data processing needs. |