Jianfu Zhang (Shanghai Jiao Tong University)
Jianfu Zhang joined the Qingyuan Research Institute of Shanghai Jiao Tong University as a tenure-track assistant professor in February 2023, focusing on generated content and trustworthy AI models. He has an impressive publication record with over twenty papers in top AI conferences and journals. Additionally, he holds the position of visiting scientist at RIKEN AIP. Jianfu earned his Ph.D. in Computer Science from the Department of Computer Science and Engineering at Shanghai Jiao Tong University, China, in 2020. Prior to that, he received a bachelor’s degree in ACM Honored Class from Zhiyuan College, Shanghai Jiao Tong University, China, in 2015. He has been recognized with prestigious awards such as the China National Scholarship and the "Yuanqing Yang Education Fund" Fellowship.
Short Abstract: This presentation aims to provide scholars and researchers with a comprehensive overview of image generation models, covering their history and latest developments, with a primary focus on Generative Adversarial Networks (GANs) and Diffusion Models. Firstly, we will introduce the fundamental principles and limitations of GANs, exploring their applications in image restoration, image synthesis, style transfer, and other areas. Secondly, we will delve into the principles, advantages, and limitations of the emerging Diffusion Model, and perform a comparative analysis with GANs. Finally, we will discuss potential future research directions and promising application areas for image generation models.