Developments of Super Resolution

Developments of Super Resolution

Introduction of super resolution with deep learning techniques. Super resolution is a technique which serve low- resolution image as input and outputs high-resolution images. How to preserve edges and restore detail information in the high-resolution image is very important. In this talk, we will discuss the developments of super resolution, especially methods using deep learning where pytorch is used during training.

Buzzwords: Super resolution. deep learning. pytorch
Level: Beginner: Target audiences with basic experience of python programming
Requirements to Audiences: Basic knowledge in machine learning & Image processing.
Language: English

Speaker: GUAN Jingwei (Hong Kong)

Speaker Bio: Senior Engineer at TCL research HK/ Ph.D of The Chinese University of Hong Kong Speaker Photo:

GitHub: https://github.com/GUAN3737
LinkedIn: https://www.linkedin.com/in/jingwei-guan-aa6453130/
Website/Blog: http://www.ee.cuhk.edu.hk/~jwguan/