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논문검색

Convergence of Internet, Broadcasting and Communication

A Study on AI Softwear [Stable Diffusion] ControlNet plug-in Usabilities

초록

영어

With significant advancements in the field of artificial intelligence, many novel algorithms and technologies have emerged. Currently, AI painting can generate high-quality images based on textual descriptions. However, it is often challenging to control details when generating images, even with complex textual inputs. Therefore, there is a need to implement additional control mechanisms beyond textual descriptions. Based on ControlNet, this passage describes a combined utilization of various local controls (such as edge maps and depth maps) and global control within a single model. It provides a comprehensive exposition of the fundamental concepts of ControlNet, elucidating its theoretical foundation and relevant technological features. Furthermore, combining methods and applications, understanding the technical characteristics involves analyzing distinct advantages and image differences. This further explores insights into the development of image generation patterns.

목차

Abstract
1. Introduction
1.1 Research Background
1.2 Research Objectives
2. Theoretical Background
2.1 AI Painting
2.2 ControlNet
3. ControlNet Image Generation Analysis
3.1 Open Pose
3.2 Canny Edge
3.3 Depth
4. Conclusion
References

저자정보

  • Chenghao Wang Doctor's Course, Dept. of Multimedia, Graduate School of Digital Image and Contents Dongguk University, Korea
  • Jeanhun Chung Professor, Dept. of Multimedia, Graduate School of Digital Image and Contents Dongguk University, Korea

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