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- 저자 : Biying Guo (검색결과 2 건)
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A Research of Ink and Wash Elements on the 3D Animation Film <Deep Sea>
Biying Guo,Xinyi Shan,정진헌 한국인터넷방송통신학회 2023 International Journal of Internet, Broadcasting an Vol.15 No.3
<Deep Sea> is an 3D animated film that stands out for its exceptional special effects and distinctive artistic style. The film employs a multitude of dazzling and vibrant ink particles, creating a strong sense of threedimensionality and weightlessness, while simultaneously portraying a dreamlike and elegant representation of a deep sea ink painting. Furthermore, through the utilization of fragmented stream of consciousness narrative technique, the film establishes a unique artistic effect infused with a Chinese atmosphere. This paper by analyzing the unique particle ink art style and color and stream of consciousness narrative methods in film, this paper discusses the innovative art style generated by traditional ink art style combined with threedimensional technology, and the integration of traditional ink art ideas and artistic conception in animated films.The objective isto cultivate a new ink artstyle and prove the importance of traditional cultural expression in animated films, while providing new perspectives for the future application of traditional art in animation.
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A Comparative Study on the Features and Applications of AI Tools -Focus on PIKA Labs and RUNWAY
Biying Guo,선심이,정진헌 한국인터넷방송통신학회 2024 International Journal of Internet, Broadcasting an Vol.16 No.1
In the field of artistic creation, the iterative development of AI-generated video software has pushed the boundaries of multimedia content creation and provided powerful creative tools for non-professionals. This paper extensively examines two leading AI-generated video software, PIKA Labs and RUNWAY, discussing their functions, performance differences, and application scopes in the video generation domain. Through detailed operational examples, a comparative analysis of their functionalities, as well as the advantages and limitations of each in generating video content, is presented. By comparison, it can be found that PIKA Labs and RUNWAY have excellent performance in stability and creativity. Therefore, the purpose of this study is to comprehensively elucidate the operating mechanisms of these two AI software, in order to intuitively demonstrate the advantages of each software. Simultaneously, this study provides valuable references for professionals and creators in the video production field, assisting them in selecting the most suitable tools for different scenarios, thereby advancing the application and development of AI-generated video software in multimedia content creation.
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