Host: The Institute of Image Electronics Engineers of Japan
Co-host: The Institute of Image Information and Television Engineers
Name : Reports of the301st Technical Conference of the Institute of Image Electronics Engineers of Japan
Number : 301
Location : [in Japanese]
Date : October 30, 2022 - October 31, 2022
In this presentation, I will introduce how image editing techniques have been developed through deep learning. The methodology for image processing and editing has been actively researched in the fields of computer graphics and computer vision. In particular, deep learning with multi-layer neural networks has recently been applied to this task, enabling complicated image editing based on high-level image features, which is difficult with the previous approaches. I will first give an overview of research on image editing using deep learning and then focus on several specific research examples with more details. The presentation will also give an exposition on previous approaches without deep learning to explain how deep learning has improved these methods. In addition, current problems and future prospects in this field will be discussed.