AI-generated images are a prime example of AI-generated content,and this paper discusses the controversy over their copyrightability.Starting with the general technical principles that lie behind AI’s deep learning f...AI-generated images are a prime example of AI-generated content,and this paper discusses the controversy over their copyrightability.Starting with the general technical principles that lie behind AI’s deep learning for model training and the generation and correction of AI-generated images according to an AI users’instructions to the AI prompt and their parameter settings,the paper analyzes the initial legal viewpoint that as AI-generated images do not have a human creator,they cannot apply for copyright.It goes on to examine the rapid development of AI-generated image technology and the gradual adoption of more open attitudes towards the copyrightability of AI-generated images due to the influence of the promoting technological advancement approach.On the basis of this,the paper further analyzes the criteria for assessing the copyrightability of AI-generated images,by using measures such as originality,human authorship,and intellectual achievements,aiming to clarify the legal basis for the copyrightability of AI-generated images and enhancing the copyright protection system.展开更多
Baosteel Technical Research has been indexed in many databases such as ProQuest CSA,Реферативныйжурнал(VINITI),China National Knowledge Infrastructure(CNKI),Wanfang Data,VIP Information,Airiti Librar...Baosteel Technical Research has been indexed in many databases such as ProQuest CSA,Реферативныйжурнал(VINITI),China National Knowledge Infrastructure(CNKI),Wanfang Data,VIP Information,Airiti Library,and Superstar Journals Database.These databases have obtained permission to digitally copy,compile,distribute,and disseminate the works of Baosteel Technical Research within their networks.The copyright usage fees are covered by the remuneration paid to the authors by Baosteel Technical Research.All authors submitting articles for publication in Baosteel Technical Research are hereby requested to conform to the above arrangement.If anyone has any objections,please inform regarding the same while submitting the manuscript so that the article is appropriately handled by Baosteel Technical Research.展开更多
Should the article be accepted and published by Meteorological and Environmental Research,the author hereby grants exclusively to the editorial department of Meteorological and Environmental Research the digital repro...Should the article be accepted and published by Meteorological and Environmental Research,the author hereby grants exclusively to the editorial department of Meteorological and Environmental Research the digital reproduction,distribution,compilation and information network transmission rights.展开更多
Mesh models are among the primary representations for storing 3-D objects,encapsulating detailed geometric information.3-D mesh watermarking,in particular,plays a central role in the protection of 3-D content.However,...Mesh models are among the primary representations for storing 3-D objects,encapsulating detailed geometric information.3-D mesh watermarking,in particular,plays a central role in the protection of 3-D content.However,frequency-domain methods rely on complex parameterization and spectral decomposition,which are sensitive to mesh topology and resolution and often introduce perceptible artifacts.Spatial-domain techniques,on the other hand,typically embed watermarks in global or randomly selected regions,leading to visible distortions and reduced robustness.To address the above limitations and protect model copyright without compromising the original aesthetic quality,we propose a deterministice PCA-synchronized 3Dmeshwatermarkingmethodwith fullerene-guided carrier selection.First,a deterministic principal component analysis(PCA)-based mesh synchronization algorithm is employed to align the models to a canonical pose.Next,a fullerene-inspired carrier selection strategy is employed to determine the watermark carriers,leveraging the structural characteristics of fullerene molecules to achieve a more rational and effective carrier selection.Finally,to balance the embedding strength and enhance visual quality,the watermark information is embedded using an APQIM(Adaptive Parity-Check Quantization Index Modulation)scheme.The experimental results show that our method can achieve high visual quality with scalable capacity and strong robustness compared with existing methods.The watermarking scheme can resist various attacks,including simplification,smoothing,Gaussian noise,translation,and rotation.展开更多
The 15th China International Animation Copyright Fair concluded successfully at the ACTIF Center in Shipai Town,Dongguan City,also known as the'"Capital of Art Toys in China.n Over 600 Chinese and foreign ent...The 15th China International Animation Copyright Fair concluded successfully at the ACTIF Center in Shipai Town,Dongguan City,also known as the'"Capital of Art Toys in China.n Over 600 Chinese and foreign enterprises and institutions participated in the event,which featured over 2,000 film and animation IPs from more than 40 countries and regions.展开更多
In compliance with“Copyright Law of the People’s Republic of China”,it is agreed by the author(s)of the said article as follows upon signing of this statement:The said article shall be published in Journal of Trans...In compliance with“Copyright Law of the People’s Republic of China”,it is agreed by the author(s)of the said article as follows upon signing of this statement:The said article shall be published in Journal of Translational Neuroscience.The author(s)shall grant the following worldwide exclusive rights carried by the said article in different languages to Journal of Translational Neuroscience free of charge:reproductions,distribution,electronic dissemination,translation and compilation.The author(s)authorize(s)Journal of Translational Neuroscience to register the said article(including all the intermedia)with the proper copyright authorities.展开更多
In compliance with“Copyright Law of the People’s Republic of China”,it is agreed by the author(s)of the said article as follows upon signing of this statement:The said article shall be published in Journal of Trans...In compliance with“Copyright Law of the People’s Republic of China”,it is agreed by the author(s)of the said article as follows upon signing of this statement:The said article shall be published in Journal of Translational Neuroscience.The author(s)shall grant the following worldwide exclusive rights carried by the said article in different languages to Journal of Translational Neuroscience free of charge:reproductions,distribution,electronic dissemination,translation and compilation.The author(s)authorize(s)Journal of Translational Neuroscience to register the said article(including all the intermedia)with the proper copyright authorities.展开更多
In compliance with“Copyright Law of the People’s Republic of China”,it is agreed by the author(s)of the said article as follows upon signing of this statement:The said article shall be published in Journal of Trans...In compliance with“Copyright Law of the People’s Republic of China”,it is agreed by the author(s)of the said article as follows upon signing of this statement:The said article shall be published in Journal of Translational Neuroscience.The author(s)shall grant the following worldwide exclusive rights carried by the said article in different languages to Journal of Translational Neuroscience free of charge:reproductions,distribution,electronic dissemination,translation and compilation.The author(s)authorize(s)Journal of Translational Neuroscience to register the said article(including all the intermedia)with the proper copyright authorities.展开更多
In compliance with“Copyright Law of the People’s Republic of China”,it is agreed by the author(s)of the said article as follows upon signing of this statement:The said article shall be published in Journal of Trans...In compliance with“Copyright Law of the People’s Republic of China”,it is agreed by the author(s)of the said article as follows upon signing of this statement:The said article shall be published in Journal of Trans-lational Neuroscience.The author(s)shall grant the fol-lowing worldwide exclusive rights carried by the said article in different languages to Journal of Translational Neuroscience free of charge:reproductions,distribution,electronic dissemination,translation and compilation.The author(s)authorize(s)Journal of Translational Neu-roscience to register the said article(including all the in-termedia)with the proper copyright authorities.展开更多
Should the article be accepted and published by Meteorological and Environmental Research,the author hereby grants exclusively to the editorial department of Meteorological and Environmental Research the digital repro...Should the article be accepted and published by Meteorological and Environmental Research,the author hereby grants exclusively to the editorial department of Meteorological and Environmental Research the digital reproduction,distribution,compilation and information network transmission rights.展开更多
1Legal requirements The author(s)guarantee(s)that the manuscript will not be published elsewhere in any language without the consent of the copyright holders,that the rights of third parties will not be violated,and t...1Legal requirements The author(s)guarantee(s)that the manuscript will not be published elsewhere in any language without the consent of the copyright holders,that the rights of third parties will not be violated,and that the publisher will not be held legally responsible should there be any claims for compensation.展开更多
Should the article be accepted and published by Meteorological and Environmental Research,the author hereby grants exclusively to the editorial department of Meteorological and Environmental Research the digital repro...Should the article be accepted and published by Meteorological and Environmental Research,the author hereby grants exclusively to the editorial department of Meteorological and Environmental Research the digital reproduction,distribution,compilation and information network transmission rights.展开更多
Should the article be accepted and published by Agricultural Science&Technology,the author hereby grants exclusively to the editorial department of Agricultural Science&Technology the digital reproduction,dist...Should the article be accepted and published by Agricultural Science&Technology,the author hereby grants exclusively to the editorial department of Agricultural Science&Technology the digital reproduction,distribution,compilation and information network transmission rights.展开更多
1Legal requirements.The author(s)guarantee(s)that the manuscript will not be published elsewhere in any language without the consent of the copyright holders,that the rights of third parties will not be violated,and t...1Legal requirements.The author(s)guarantee(s)that the manuscript will not be published elsewhere in any language without the consent of the copyright holders,that the rights of third parties will not be violated,and that the publisher will not be held legally responsible should there be any claims for compensation.Authors wishing to include figures or text passages that have already been published elsewhere are required to obtain permission from the copyright holder(s)and to include evidence that such permission has been granted when submitting their papers.Any material received without such evidence will be assumed to originate from the authors.展开更多
Should the article be accepted and published by Meteorological and Environmental Research , the author hereby grants exclusively to the editorial department of Meteorological and Environmental Research the digital rep...Should the article be accepted and published by Meteorological and Environmental Research , the author hereby grants exclusively to the editorial department of Meteorological and Environmental Research the digital reproduction, distribution, compilation and information network transmission rights.展开更多
Should the article be accepted and published by Agricultural Science&Technology,the author hereby grants exclusively to the editorial department of Agricultural Science&Technology the digital reproduction,dist...Should the article be accepted and published by Agricultural Science&Technology,the author hereby grants exclusively to the editorial department of Agricultural Science&Technology the digital reproduction,distribution,compilation and information network transmission rights.展开更多
1Legal requirements The author(s)guarantee(s)that the manuscript will not be published elsewhere in any language without the consent of the copyright holders,that the rights of third parties will not be violated,and t...1Legal requirements The author(s)guarantee(s)that the manuscript will not be published elsewhere in any language without the consent of the copyright holders,that the rights of third parties will not be violated,and that the publisher will not be held legally responsible should there be any claims for compensation.Authors wishing to include figures or text passages that have already been published elsewhere are required to obtain permission from the copyright holder(s)and to include evidence that such permission has been granted when submitting their papers.Any material received without such evidence will be assumed to originate from the authors.展开更多
Should the article be accepted and published by Meteorological and Environmental Research,the author hereby grants exclusively to the editorial department of Meteorological and Environmental Research the digital repro...Should the article be accepted and published by Meteorological and Environmental Research,the author hereby grants exclusively to the editorial department of Meteorological and Environmental Research the digital reproduction,distribution,compilation and information network transmission rights.展开更多
The unprecedented scale of large models,such as large language models(LLMs)and text-to-image diffusion models,has raised critical concerns about the unauthorized use of copyrighted data during model training.These con...The unprecedented scale of large models,such as large language models(LLMs)and text-to-image diffusion models,has raised critical concerns about the unauthorized use of copyrighted data during model training.These concerns have spurred a growing demand for dataset copyright auditing techniques,which aim to detect and verify potential infringements in the training data of commercial AI systems.This paper presents a survey of existing auditing solutions,categorizing them across key dimensions:data modality,model training stage,data overlap scenarios,and model access levels.We highlight major trends,including the prevalence of black-box auditing methods and the emphasis on fine-tuning rather than pre-training.Through an in-depth analysis of 12 representative works,we extract four key observations that reveal the limitations of current methods.Furthermore,we identify three open challenges and propose future directions for robust,multimodal,and scalable auditing solutions.Our findings underscore the urgent need to establish standardized benchmarks and develop auditing frameworks that are resilient to low watermark densities and applicable in diverse deployment settings.展开更多
The authors regret for the missing of copyright attributions in the captions of Fig.1(d)and Fig.7 in the original publication.Please note the corrections do not affect the experimental results and conclusions.In the o...The authors regret for the missing of copyright attributions in the captions of Fig.1(d)and Fig.7 in the original publication.Please note the corrections do not affect the experimental results and conclusions.In the originally published article,Fig.1(d)and Fig.7 were adapted from previously published figures in the cited literature.展开更多
文摘AI-generated images are a prime example of AI-generated content,and this paper discusses the controversy over their copyrightability.Starting with the general technical principles that lie behind AI’s deep learning for model training and the generation and correction of AI-generated images according to an AI users’instructions to the AI prompt and their parameter settings,the paper analyzes the initial legal viewpoint that as AI-generated images do not have a human creator,they cannot apply for copyright.It goes on to examine the rapid development of AI-generated image technology and the gradual adoption of more open attitudes towards the copyrightability of AI-generated images due to the influence of the promoting technological advancement approach.On the basis of this,the paper further analyzes the criteria for assessing the copyrightability of AI-generated images,by using measures such as originality,human authorship,and intellectual achievements,aiming to clarify the legal basis for the copyrightability of AI-generated images and enhancing the copyright protection system.
文摘Baosteel Technical Research has been indexed in many databases such as ProQuest CSA,Реферативныйжурнал(VINITI),China National Knowledge Infrastructure(CNKI),Wanfang Data,VIP Information,Airiti Library,and Superstar Journals Database.These databases have obtained permission to digitally copy,compile,distribute,and disseminate the works of Baosteel Technical Research within their networks.The copyright usage fees are covered by the remuneration paid to the authors by Baosteel Technical Research.All authors submitting articles for publication in Baosteel Technical Research are hereby requested to conform to the above arrangement.If anyone has any objections,please inform regarding the same while submitting the manuscript so that the article is appropriately handled by Baosteel Technical Research.
文摘Should the article be accepted and published by Meteorological and Environmental Research,the author hereby grants exclusively to the editorial department of Meteorological and Environmental Research the digital reproduction,distribution,compilation and information network transmission rights.
基金supported by the National Natural Science Foundation of China(NSFC)under Grant 62272331the Key Laboratory of Data Protection and Intelligent Management,Ministry of Education,Sichuan University and the Fundamental Research Funds for the Central Universities under Grant SCU2023D008.
文摘Mesh models are among the primary representations for storing 3-D objects,encapsulating detailed geometric information.3-D mesh watermarking,in particular,plays a central role in the protection of 3-D content.However,frequency-domain methods rely on complex parameterization and spectral decomposition,which are sensitive to mesh topology and resolution and often introduce perceptible artifacts.Spatial-domain techniques,on the other hand,typically embed watermarks in global or randomly selected regions,leading to visible distortions and reduced robustness.To address the above limitations and protect model copyright without compromising the original aesthetic quality,we propose a deterministice PCA-synchronized 3Dmeshwatermarkingmethodwith fullerene-guided carrier selection.First,a deterministic principal component analysis(PCA)-based mesh synchronization algorithm is employed to align the models to a canonical pose.Next,a fullerene-inspired carrier selection strategy is employed to determine the watermark carriers,leveraging the structural characteristics of fullerene molecules to achieve a more rational and effective carrier selection.Finally,to balance the embedding strength and enhance visual quality,the watermark information is embedded using an APQIM(Adaptive Parity-Check Quantization Index Modulation)scheme.The experimental results show that our method can achieve high visual quality with scalable capacity and strong robustness compared with existing methods.The watermarking scheme can resist various attacks,including simplification,smoothing,Gaussian noise,translation,and rotation.
文摘The 15th China International Animation Copyright Fair concluded successfully at the ACTIF Center in Shipai Town,Dongguan City,also known as the'"Capital of Art Toys in China.n Over 600 Chinese and foreign enterprises and institutions participated in the event,which featured over 2,000 film and animation IPs from more than 40 countries and regions.
文摘In compliance with“Copyright Law of the People’s Republic of China”,it is agreed by the author(s)of the said article as follows upon signing of this statement:The said article shall be published in Journal of Translational Neuroscience.The author(s)shall grant the following worldwide exclusive rights carried by the said article in different languages to Journal of Translational Neuroscience free of charge:reproductions,distribution,electronic dissemination,translation and compilation.The author(s)authorize(s)Journal of Translational Neuroscience to register the said article(including all the intermedia)with the proper copyright authorities.
文摘In compliance with“Copyright Law of the People’s Republic of China”,it is agreed by the author(s)of the said article as follows upon signing of this statement:The said article shall be published in Journal of Translational Neuroscience.The author(s)shall grant the following worldwide exclusive rights carried by the said article in different languages to Journal of Translational Neuroscience free of charge:reproductions,distribution,electronic dissemination,translation and compilation.The author(s)authorize(s)Journal of Translational Neuroscience to register the said article(including all the intermedia)with the proper copyright authorities.
文摘In compliance with“Copyright Law of the People’s Republic of China”,it is agreed by the author(s)of the said article as follows upon signing of this statement:The said article shall be published in Journal of Translational Neuroscience.The author(s)shall grant the following worldwide exclusive rights carried by the said article in different languages to Journal of Translational Neuroscience free of charge:reproductions,distribution,electronic dissemination,translation and compilation.The author(s)authorize(s)Journal of Translational Neuroscience to register the said article(including all the intermedia)with the proper copyright authorities.
文摘In compliance with“Copyright Law of the People’s Republic of China”,it is agreed by the author(s)of the said article as follows upon signing of this statement:The said article shall be published in Journal of Trans-lational Neuroscience.The author(s)shall grant the fol-lowing worldwide exclusive rights carried by the said article in different languages to Journal of Translational Neuroscience free of charge:reproductions,distribution,electronic dissemination,translation and compilation.The author(s)authorize(s)Journal of Translational Neu-roscience to register the said article(including all the in-termedia)with the proper copyright authorities.
文摘Should the article be accepted and published by Meteorological and Environmental Research,the author hereby grants exclusively to the editorial department of Meteorological and Environmental Research the digital reproduction,distribution,compilation and information network transmission rights.
文摘1Legal requirements The author(s)guarantee(s)that the manuscript will not be published elsewhere in any language without the consent of the copyright holders,that the rights of third parties will not be violated,and that the publisher will not be held legally responsible should there be any claims for compensation.
文摘Should the article be accepted and published by Meteorological and Environmental Research,the author hereby grants exclusively to the editorial department of Meteorological and Environmental Research the digital reproduction,distribution,compilation and information network transmission rights.
文摘Should the article be accepted and published by Agricultural Science&Technology,the author hereby grants exclusively to the editorial department of Agricultural Science&Technology the digital reproduction,distribution,compilation and information network transmission rights.
文摘1Legal requirements.The author(s)guarantee(s)that the manuscript will not be published elsewhere in any language without the consent of the copyright holders,that the rights of third parties will not be violated,and that the publisher will not be held legally responsible should there be any claims for compensation.Authors wishing to include figures or text passages that have already been published elsewhere are required to obtain permission from the copyright holder(s)and to include evidence that such permission has been granted when submitting their papers.Any material received without such evidence will be assumed to originate from the authors.
文摘Should the article be accepted and published by Meteorological and Environmental Research , the author hereby grants exclusively to the editorial department of Meteorological and Environmental Research the digital reproduction, distribution, compilation and information network transmission rights.
文摘Should the article be accepted and published by Agricultural Science&Technology,the author hereby grants exclusively to the editorial department of Agricultural Science&Technology the digital reproduction,distribution,compilation and information network transmission rights.
文摘1Legal requirements The author(s)guarantee(s)that the manuscript will not be published elsewhere in any language without the consent of the copyright holders,that the rights of third parties will not be violated,and that the publisher will not be held legally responsible should there be any claims for compensation.Authors wishing to include figures or text passages that have already been published elsewhere are required to obtain permission from the copyright holder(s)and to include evidence that such permission has been granted when submitting their papers.Any material received without such evidence will be assumed to originate from the authors.
文摘Should the article be accepted and published by Meteorological and Environmental Research,the author hereby grants exclusively to the editorial department of Meteorological and Environmental Research the digital reproduction,distribution,compilation and information network transmission rights.
基金supported in part by NSFC under Grant Nos.62402379,U22A2029 and U24A20237.
文摘The unprecedented scale of large models,such as large language models(LLMs)and text-to-image diffusion models,has raised critical concerns about the unauthorized use of copyrighted data during model training.These concerns have spurred a growing demand for dataset copyright auditing techniques,which aim to detect and verify potential infringements in the training data of commercial AI systems.This paper presents a survey of existing auditing solutions,categorizing them across key dimensions:data modality,model training stage,data overlap scenarios,and model access levels.We highlight major trends,including the prevalence of black-box auditing methods and the emphasis on fine-tuning rather than pre-training.Through an in-depth analysis of 12 representative works,we extract four key observations that reveal the limitations of current methods.Furthermore,we identify three open challenges and propose future directions for robust,multimodal,and scalable auditing solutions.Our findings underscore the urgent need to establish standardized benchmarks and develop auditing frameworks that are resilient to low watermark densities and applicable in diverse deployment settings.
文摘The authors regret for the missing of copyright attributions in the captions of Fig.1(d)and Fig.7 in the original publication.Please note the corrections do not affect the experimental results and conclusions.In the originally published article,Fig.1(d)and Fig.7 were adapted from previously published figures in the cited literature.
