Skip to content
Title: Denoising Diffusion-based Generative Modes for Visual Content Generation
Speaker: Dr. Xihui Liu, Assistant Professor, IDS & Department of Electrical and Electronic Engineering, HKU
Date: May 5, 2023
Time: 10:30am – 11:30am

Mode: Hybrid. Seats for on-site participants are limited. A confirmation email will be sent to participants who have successfully registered.

Seminar recording:


Denoising diffusion models, also known as score-based generative models, are a class of generative models that can produce high-fidelity images, videos and 3D models from noise. They define a forward diffusion process that gradually adds noise to the input data, and a reverse diffusion process that iteratively denoises the noise using a learned score function. In this talk, we will introduce the foundations and applications of denoising diffusion-based generative models. We will cover the theoretical background, the training and sampling methods, the recent advances and challenges, and the practical use cases of these models. We will also demonstrate some examples of image/video/3D generation using denoising diffusion-based generative models and discuss their advantages and limitations compared to other generative models.


Dr. Xihui Liu
Assistant Professor @ HKU IDS & Dept of EEE
Dr. Xihui Liu is an Assistant Professor at the Musketeers Foundation Institute of Data Science (HKU IDS) and the Department of Electrical and Electronic Engineering (EEE)The University of Hong Kong. Before joining HKU, she was a postdoc Scholar at UC Berkeley, advised by Prof. Trevor Darrell. She obtained her Ph.D. degree from Multimedia Lab (MMLab), the Chinese University of Hong Kong, supervised by Prof. Xiaogang Wang and Prof. Hongsheng Li. She received her bachelor’s degree in Electronic Engineering at Tsinghua University.
Her research interests cover computer vision, machine learning, and artificial intelligence, with special emphasis on visual synthesis, generative models, vision and language, and multimodal AI. She was awarded Adobe Research Fellowship 2020, MIT EECS Rising Stars 2021, and WAIC Rising Stars Award 2022.


Prof Kenneth K.Y. Wong
Head @ Department of Electrical and Electronic Engineering, HKU
Prof. Kenneth Kin-Yip Wong is currently a Professor in the Department of Electrical and Electronic Engineering in the University of Hong Kong. He is a senior member of the IEEE (Photonics Society), OSA, and SPIE. He received combined B.E. (1st class honor with medal award) degree in electrical engineering and B. S. degree in physics from the University of Queensland, Brisbane, Australia, in 1997. He received the M.S. degree in 1998 and the Ph.D. degree in 2003, both in electrical engineering at Stanford University. He was a member of the Photonics and Networking Research Laboratory at Stanford University. His research field included DWDM systems, SCM optical systems, fiber nonlinearity, and fiber optical parametric amplifiers. He is author or coauthor of over 50 journal and conference papers.
For full biography of Prof. Wong, please browse his website at:

For information, please contact: