In recent years,computing art has developed rapidly with the in-depth cross study of artificial intelligence generated con-tent(AIGC)and the main features of artworks.Audio-visual content generation has gradually been...In recent years,computing art has developed rapidly with the in-depth cross study of artificial intelligence generated con-tent(AIGC)and the main features of artworks.Audio-visual content generation has gradually been applied to various practical tasks,including video or game score,assisting artists in creation,art education and other aspects,which demonstrates a broad application pro-spect.In this paper,we introduce innovative achievements in audio-visual content generation from the perspective of visual art genera-tion and auditory art generation based on artificial intelligence(Al).We outline the development tendency of image and music datasets,visual and auditory content modelling,and related automatic generation systems.The objective and subjective evaluation of generated samples plays an important role in the measurement of algorithm performance.We provide a cogeneration mechanism of audio-visual content in multimodal tasks from image to music and display the construction of specific stylized datasets.There are still many new op-portunities and challenges in the field of audio-visual synesthesia generation,and we provide a comprehensive discussion on them.展开更多
As computer graphics technology supports pursuing a photorealistic style,replicated artworks with a photorealistic style overwhelmingly predominate in the computer-generated art circle.Along with the progression of ge...As computer graphics technology supports pursuing a photorealistic style,replicated artworks with a photorealistic style overwhelmingly predominate in the computer-generated art circle.Along with the progression of generative technology,this trend may make generative art a virtual world of photorealistic fake,in which the single criterion of expressive style imperils art into the context of a single boring stereotype.This article focuses on the issue of style diversity and its technical feasibility by artistic experiments of generating flower images in StyleGAN.The author insisted that photo both technology and artistic style should not be confined merely for realistic purposes.This proposition was validated in the GAN generation experiment by changing the training materials.展开更多
We digitally reproduce the process of resource collaboration,design creation,and visual presentation of Chinese seal-carving art.We develop an intelligent seal-carving art-generation system(Zhejiang University Intelli...We digitally reproduce the process of resource collaboration,design creation,and visual presentation of Chinese seal-carving art.We develop an intelligent seal-carving art-generation system(Zhejiang University Intelligent Seal-Carving System,http://www.next.zju.edu.cn/seal/;the website of the seal-carving search and layout system is http://www.next.zju.edu.cn/seal/search_app/)to deal with the difficulty in using a visual knowledge guided computational art approach.The knowledge base in this study is the Qiushi Seal-Carving Database,which consists of open datasets of images of seal characters and seal stamps.We propose a seal character generation method based on visual knowledge,guided by the database and expertise.Furthermore,to create the layout of the seal,we propose a deformation algorithm to adjust the seal characters and calculate layout parameters from the database and knowledge to achieve an intelligent structure.Experimental results show that this method and system can effectively deal with the difficulties in the generation of seal carving.Our work provides theoretical and applied references for the rebirth and innovation of seal-carving art.展开更多
基金This work was supported by National Natural Science Foundation of China(No.62176006)the National Key Research and Development Program of China(No.2022YFF0902302).
文摘In recent years,computing art has developed rapidly with the in-depth cross study of artificial intelligence generated con-tent(AIGC)and the main features of artworks.Audio-visual content generation has gradually been applied to various practical tasks,including video or game score,assisting artists in creation,art education and other aspects,which demonstrates a broad application pro-spect.In this paper,we introduce innovative achievements in audio-visual content generation from the perspective of visual art genera-tion and auditory art generation based on artificial intelligence(Al).We outline the development tendency of image and music datasets,visual and auditory content modelling,and related automatic generation systems.The objective and subjective evaluation of generated samples plays an important role in the measurement of algorithm performance.We provide a cogeneration mechanism of audio-visual content in multimodal tasks from image to music and display the construction of specific stylized datasets.There are still many new op-portunities and challenges in the field of audio-visual synesthesia generation,and we provide a comprehensive discussion on them.
文摘As computer graphics technology supports pursuing a photorealistic style,replicated artworks with a photorealistic style overwhelmingly predominate in the computer-generated art circle.Along with the progression of generative technology,this trend may make generative art a virtual world of photorealistic fake,in which the single criterion of expressive style imperils art into the context of a single boring stereotype.This article focuses on the issue of style diversity and its technical feasibility by artistic experiments of generating flower images in StyleGAN.The author insisted that photo both technology and artistic style should not be confined merely for realistic purposes.This proposition was validated in the GAN generation experiment by changing the training materials.
基金the Natural Science Foundation of Zhejiang Province,China(No.LZ19F020002)the Key R&D Program of Zhejiang Province,China(No.2022C03126)。
文摘We digitally reproduce the process of resource collaboration,design creation,and visual presentation of Chinese seal-carving art.We develop an intelligent seal-carving art-generation system(Zhejiang University Intelligent Seal-Carving System,http://www.next.zju.edu.cn/seal/;the website of the seal-carving search and layout system is http://www.next.zju.edu.cn/seal/search_app/)to deal with the difficulty in using a visual knowledge guided computational art approach.The knowledge base in this study is the Qiushi Seal-Carving Database,which consists of open datasets of images of seal characters and seal stamps.We propose a seal character generation method based on visual knowledge,guided by the database and expertise.Furthermore,to create the layout of the seal,we propose a deformation algorithm to adjust the seal characters and calculate layout parameters from the database and knowledge to achieve an intelligent structure.Experimental results show that this method and system can effectively deal with the difficulties in the generation of seal carving.Our work provides theoretical and applied references for the rebirth and innovation of seal-carving art.
