Research progress of AIGC image watermarking technology based on diffusion model

With the rapid development of artificial intelligence generated content (AIGC) technology, its application in the field of vision has brought unprecedented opportunities and challenges. This paper deeply explores the application of AIGC technology in the field of image generation, analyzes the evolution of existing image generation technology, especially the technology based on diffusion model, and explores its challenges in copyright protection and content security. In response to these problems, this paper focuses on the latest research progress of digital watermarking technology as a solution, including traditional watermarking methods and watermarking technology based on deep learning. Furthermore, this paper discusses in detail the digital watermarking technology for AIGC visual large models, including two categories: image generation model watermarking and generated image content watermarking, and analyzes their technical principles, application prospects and challenges. Finally, this paper summarizes and prospects the existing challenges and future trends of AIGC visual large

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Publication Details

Published
2024-11-21
DOI
https://doi.org/10.1145/3708657.3708733
Primary Topic
Advanced Steganography and Watermarking Techniques
Type
article
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Research progress of AIGC image watermarking technology based on diffusion model

Ying Huang, Baoning Niu, Jie Liu, Hu Guan et al.
Advanced Steganography and Watermarking Techniques
article

Research progress of AIGC image watermarking technology based on diffusion model

Ying Huang, Baoning Niu, Jie Liu, Hu Guan, Shuwu Zhang, Xinting Wu
article en

Abstract

With the rapid development of artificial intelligence generated content (AIGC) technology, its application in the field of vision has brought unprecedented opportunities and challenges. This paper deeply explores the application of AIGC technology in the field of image generation, analyzes the evolution of existing image generation technology, especially the technology based on diffusion model, and explores its challenges in copyright protection and content security. In response to these problems, this paper focuses on the latest research progress of digital watermarking technology as a solution, including traditional watermarking methods and watermarking technology based on deep learning. Furthermore, this paper discusses in detail the digital watermarking technology for AIGC visual large models, including two categories: image generation model watermarking and generated image content watermarking, and analyzes their technical principles, application prospects and challenges. Finally, this paper summarizes and prospects the existing challenges and future trends of AIGC visual large

Beijing University of Posts and Telecommunications (CN), Chinese Academy of Sciences (CN), Shandong Institute of Automation (CN), Taiyuan University of Technology (CN)
Openalex Percentile: Top 70%
Advanced Steganography and Watermarking Techniques
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Research progress of AIGC image watermarking technology based on diffusion model — Ying Huang, Baoning Niu, et al. · (2024) | TGRS Research Map | TGRS