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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News

Research

I'm interested in computer vision, deep learning, generative AI, 3D reconstruction, video editing, and image processing.

MoonSim is a photo-realistic lunar scene simulator that incorporates Unreal Engine for high-quality lunar images with realistic lighting and shadows and MuJoCo for physics simulation, supporting diverse locomotion and navigation tasks.

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.

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.

Project

A Blender plugin that transforms text or image inputs into complete 3D scenes with rigged objects, realistic AI-generated backgrounds, and intelligent object placement, all powered by generative AI.

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.