AI Generated Content (AIGC) and Data-centric Learning Laboratory
人工智能生成內容（AIGC）與數據驅動學習實驗室

Objective

Data-driven methodologies, including deep learning, are characterized by their reliance on voluminous data. This laboratory is dedicated to integrating generative methods and advanced data analysis algorithms to address intricate real-world challenges. Our objective is to cultivate a collaborative milieu that fosters innovation and drives the pursuit of excellence in scientific research.

Data Generation

This research area is dedicated to the generation of diverse and high-fidelity data, including both 2D images, 3D objects, and videos. Some methodologies emphasize the quality of the generated data, whereas others concentrate on improving the recognition performance derived from using such data.

Data-centric Learning

This research area focuses on the methodologies and techniques for effectively mining, transforming, and leveraging data to train superior models in a more streamlined and efficient manner, such as lifting 2D image to a 3D space.

Facilities

Courses supported