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Diffusion models excel in many generative modeling tasks, notably in creating images from text prompts, a task referred to as text-to-image (T2I) generation. Despite the ability to generate high-quality images, these models often replicate…

多媒体 · 计算机科学 2024-02-20 Yang Zhang , Teoh Tze Tzun , Lim Wei Hern , Haonan Wang , Kenji Kawaguchi

Generative models have achieved impressive results in text to image tasks, significantly advancing visual content creation. However, this progress comes at a cost, as such models rely heavily on large-scale training data and may…

机器学习 · 计算机科学 2025-09-03 Zhipeng Yin , Zichong Wang , Avash Palikhe , Zhen Liu , Jun Liu , Wenbin Zhang

Recent studies show that image and video generation models can be prompted to reproduce copyrighted content from their training data, raising serious legal concerns about copyright infringement. Copyrighted characters (e.g., Mario, Batman)…

计算机视觉与模式识别 · 计算机科学 2025-03-27 Luxi He , Yangsibo Huang , Weijia Shi , Tinghao Xie , Haotian Liu , Yue Wang , Luke Zettlemoyer , Chiyuan Zhang , Danqi Chen , Peter Henderson

Recent advances in generative models have demonstrated an exceptional ability to produce highly realistic images. However, previous studies show that generated images often resemble the training data, and this problem becomes more severe as…

计算机视觉与模式识别 · 计算机科学 2025-12-15 Er Jin , Yang Zhang , Yongli Mou , Yanfei Dong , Stefan Decker , Kenji Kawaguchi , Johannes Stegmaier

Generative artificial intelligence (AI) systems are trained on large data corpora to generate new pieces of text, images, videos, and other media. There is growing concern that such systems may infringe on the copyright interests of…

机器学习 · 计算机科学 2024-09-10 Jiachen T. Wang , Zhun Deng , Hiroaki Chiba-Okabe , Boaz Barak , Weijie J. Su

Visual Generative AI models have demonstrated remarkable capability in generating high-quality images from user inputs like text prompts. However, because these models have billions of parameters, they risk memorizing certain parts of the…

计算机视觉与模式识别 · 计算机科学 2025-12-18 Lena Reissinger , Yuanyuan Li , Anna-Carolina Haensch , Neeraj Sarna

The rapid advancement of general-purpose AI models has increased concerns about copyright infringement in training data, yet current regulatory frameworks remain predominantly reactive rather than proactive. This paper examines the…

计算机与社会 · 计算机科学 2026-01-21 Mariia Kyrychenko , Mykyta Mudryi , Markiyan Chaklosh

The rapid progress of generative AI technology has sparked significant copyright concerns, leading to numerous lawsuits filed against AI developers. Notably, generative AI's capacity for generating images of copyrighted characters has been…

机器学习 · 计算机科学 2025-04-01 Hiroaki Chiba-Okabe , Weijie J. Su

Copyright law confers upon creators the exclusive rights to reproduce, distribute, and monetize their creative works. However, recent progress in text-to-image generation has introduced formidable challenges to copyright enforcement. These…

计算机视觉与模式识别 · 计算机科学 2024-06-24 Rui Ma , Qiang Zhou , Yizhu Jin , Daquan Zhou , Bangjun Xiao , Xiuyu Li , Yi Qu , Aishani Singh , Kurt Keutzer , Jingtong Hu , Xiaodong Xie , Zhen Dong , Shanghang Zhang , Shiji Zhou

This paper addresses the contentious issue of copyright infringement in images generated by text-to-image models, sparking debates among AI developers, content creators, and legal entities. State-of-the-art models create high-quality…

人工智能 · 计算机科学 2025-01-31 Chao Zhou , Huishuai Zhang , Jiang Bian , Weiming Zhang , Nenghai Yu

Generative AI is becoming increasingly prevalent in creative fields, sparking urgent debates over how current copyright laws can keep pace with technological innovation. Recent controversies of AI models generating near-replicas of…

机器学习 · 计算机科学 2025-07-01 Archer Amon , Zhipeng Yin , Zichong Wang , Avash Palikhe , Wenbin Zhang

The exposure of large language models (LLMs) to copyrighted material during pre-training raises concerns about unintentional copyright infringement post deployment. This has driven the development of "copyright takedown" methods,…

计算与语言 · 计算机科学 2025-04-24 Jingyu Zhang , Jiacan Yu , Marc Marone , Benjamin Van Durme , Daniel Khashabi

Modern text-to-image generative models can inadvertently reproduce copyrighted content memorized in their training data, raising serious concerns about potential copyright infringement. We introduce Guardians of Generation, a model agnostic…

计算机视觉与模式识别 · 计算机科学 2025-03-21 Soham Roy , Abhishek Mishra , Shirish Karande , Murari Mandal

The expanse of information available over the internet makes it difficult to identify whether a specific work is a replica or a duplication of a protected work, especially if we talk about visual representations. Strategies are planned to…

计算机视觉与模式识别 · 计算机科学 2024-07-16 Ashutosh , Rahul Jashvantbhai Pandya

Recent proliferation of generative AI tools for visual content creation-particularly in the context of visual artworks-has raised serious concerns about copyright infringement and forgery. The large-scale datasets used to train these models…

计算机视觉与模式识别 · 计算机科学 2025-05-14 Haroon Wahab , Hassan Ugail , Irfan Mehmood

The commercialization of text-to-image diffusion models (DMs) brings forth potential copyright concerns. Despite numerous attempts to protect DMs from copyright issues, the vulnerabilities of these solutions are underexplored. In this…

密码学与安全 · 计算机科学 2024-05-28 Haonan Wang , Qianli Shen , Yao Tong , Yang Zhang , Kenji Kawaguchi

To learn how to behave, the current revolutionary generation of AIs must be trained on vast quantities of published images, written works, and sounds, many of which fall within the core subject matter of copyright law. To some, the use of…

计算机与社会 · 计算机科学 2023-05-08 Andrew W. Torrance , Bill Tomlinson

The rapid advancement of generative AI is poised to disrupt the creative industry. Amidst the immense excitement for this new technology, its future development and applications in the creative industry hinge crucially upon two copyright…

理论经济学 · 经济学 2025-12-09 S. Alex Yang , Angela Huyue Zhang

Web-based AI image generation has become an innovative art form that can generate novel artworks with the rapid development of the diffusion model. However, this new technique brings potential copyright infringement risks as it may…

计算机视觉与模式识别 · 计算机科学 2023-11-23 Junlei Zhou , Jiashi Gao , Ziwei Wang , Xuetao Wei

"Does generative AI infringe copyright?" is an urgent question. It is also a difficult question, for two reasons. First, "generative AI" is not just one product from one company. It is a catch-all name for a massive ecosystem of loosely…

计算机与社会 · 计算机科学 2024-03-05 Katherine Lee , A. Feder Cooper , James Grimmelmann
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