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Introduce Diffussion Models to the Fans of Machine Learning

组织者

焦小沛 , 熊繁升 , 杨武岳

演讲者

宋丛威

时间

2023年06月08日 15:30 至 17:00

地点

A3-2a-201

线上

Zoom 518 868 7656 (BIMSA)

摘要

Diffusion models have emerged as the new state-of-the-art family of deep generative models. They are designed to generate high-quality images by iteratively refining a random noise input; They outperforms many classic sota models in terms of performance; Several improved versions are also emerging, such as consistency models. The purpose of this report is to let people quickly understand the principle, the relation with other models, and stimulate the research interest. At the same time, several classical papers are interpreted, and the application of the API of TensorFlow implementation of diffusion models is demonstrated. Hopefully diffusion models will help you solve the problem.

演讲者介绍

宋丛威于2011年在浙江大学理学院取得应用数学硕士学位，于2014年在浙江大学数学系取得基础数学博士学位，2014-2021年在浙江工业大学之江学院任讲师，2021至今任BIMSA助理研究员。主要研究方向：小波分析，调和分析，机器学习。