• 제목/요약/키워드: AI painting

검색결과 22건 처리시간 0.027초

Impact of Artificial Intelligence on the Development of Art Projects: Opportunities and Limitations

  • Zheng, Xiang;Xiong, Jinghao;Cao, Xiaoming;Nazarov, Y.V.
    • International Journal of Computer Science & Network Security
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    • 제22권9호
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    • pp.343-347
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    • 2022
  • To date, the use of artificial intelligence has already brought certain results in such areas of art as poetry, painting, and music. The development of AI and its application in the creative process opens up new perspectives, expanding the capabilities of authors and attracting a new audience. The purpose of the article is to analyze the essential, artistic, and technological limitations of AI art. The article discusses the methods of attracting AI to artistic practices, carried out a comparative analysis of the methods of using AI in visual art and in the process of writing music, identified typical features in the creative interaction of the author of a work of art with AI. The basic principles of working with AI have been determined based on the analysis of ways of using AI in visual art and music. The importance of neurobiology mechanisms in the course of working with AI has been determined. The authors conclude that art remains an area in which AI still cannot replace humans, but AI contributes to the further formation of methods for modifying and rethinking the data obtained into innovative art projects.

Research on Creative Expression Utilizing AI Technology in 3D Animation Production

  • Chenghao Wang;Jeanhun Chung
    • International journal of advanced smart convergence
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    • 제13권2호
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    • pp.148-153
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    • 2024
  • This article embarks on an exploration of how the burgeoning landscape of AI technology is reshaping and augmenting creative expression within the realm of 3D animation. As AI continues to evolve and mature, its integration into the process of 3D animation creation has become an increasingly focal point of investigation and analysis. The article undertakes a comprehensive examination of the myriad applications of AI within the domain of 3D animation, shedding light on its multifaceted contributions to various aspects of the creative process. Furthermore, it delves into the transformative impact that AI technology has on enhancing creative expression within 3D animation, particularly through increased productivity, personalized content creation, and the expansion of creative boundaries. By automating repetitive and time-consuming tasks inherent in traditional production methods, AI liberates artists and animators to unleash their creative ingenuity and push the boundaries of their craft. Through empirical research and case studies, the article elucidates how AI serves as a catalyst for innovation, fostering a conducive environment for the exploration of novel techniques and artistic styles.

A Study of Artificial Intelligence Generated 3D Engine Animation Workflow

  • Chenghao Wang;Jeanhun Chung
    • International journal of advanced smart convergence
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    • 제12권4호
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    • pp.286-292
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    • 2023
  • This article is set against the backdrop of the rapid development of the metaverse and artificial intelligence technologies, and aims to explore the possibility and potential impact of integrating AI technology into the traditional 3D animation production process. Through an in-depth analysis of the differences when merging traditional production processes with AI technology, it aims to summarize a new innovative workflow for 3D animation production. This new process takes full advantage of the efficiency and intelligent features of AI technology, significantly improving the efficiency of animation production and enhancing the overall quality of the animations. Furthermore, the paper delves into the creative methods and developmental implications of artificial intelligence technology in real-time rendering engines for 3D animation. It highlights the importance of these technologies in driving innovation and optimizing workflows in the field of animation production, showcasing how they provide new perspectives and possibilities for the future development of the animation industry.

A Study on Character Design Using [Midjourney] Application

  • Chen Xi;Jeanhun Chung
    • International Journal of Advanced Culture Technology
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    • 제11권2호
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    • pp.409-414
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    • 2023
  • In recent years, the emergence of a number of AI image generation software represented by [Midjourney] has brought great impetus to the development of the field of AI-assisted art creation. Compared with the traditional hand-painted digital painting with the aid of electronic equipment, broke the traditional sense of animation character creation logic.This paper analyzes the application of AI technology in the field of animation character design through the practice of two-dimensional animation character . This is having a significant impact on the productivity and innovation of animation design and character modeling. The key results of the analysis indicate that AI technology, particularly through the utilization of "Midjourney,"enables the automation of certain design tasks, provides innovative approaches, and generates visually appealing and realistic characters. In conclusion, the integration of AI technology, specifically the application of "Midjourney," brings a new dimension to animation character design. The utilization of AI image generation software facilitates streamlined workflows, sparks creativity, and improves the overall quality of animated characters. As the animation industry continues to evolve, AI-assisted tools like "Midjourney" hold great potential for further advancement and innovation.

민화와 풍속화를 이용한 AI 기반의 콘텐츠 원천 데이터 생성 모델의 연구 (A Study of an AI-Based Content Source Data Generation Model using Folk Paintings and Genre Paintings)

  • 양석환;이영숙
    • 한국멀티미디어학회논문지
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    • 제24권5호
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    • pp.736-743
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    • 2021
  • Due to COVID-19, the non-face-to-face content market is growing rapidly. However, most of the non-face-to-face content such as webtoons and web novels are produced based on the traditional culture of other countries, not Korean traditional culture. The biggest cause of this situation is the lack of reference materials for creating based on Korean traditional culture. Therefore, the need for materials on traditional Korean culture that can be used for content creation is emerging. In this paper, we propose a generation model of source data based on traditional folk paintings through the fusion of traditional Korean folk paintings and AI technology. The proposed model secures basic data based on folk tales, analyzes the style and characteristics of folk tales, and converts historical backgrounds and various stories related to folk tales into data. In addition, using the built data, various new stories are created based on AI technology. The proposed model is highly utilized in that it provides a foundation for new creation based on Korean traditional folk painting and AI technology.

생성 AI 모델을 위한 텍스트 프롬프트 추정 기반 한국화 재생성에 대한 연구 (A Study on the Reproduction of Korean Painting through Text Prompt Estimation for Generative AI Models)

  • 문성원;이지원;남도원
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2023년도 추계학술발표대회
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    • pp.432-433
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    • 2023
  • 스테이블 디퓨전(Stable diffusion)과 같은 텍스트 프롬프트 입력 기반 이미지 생성 AI 기술의 발전으로 원하는 형태의 고품질 이미지를 누구나 손쉽게 생성가능할 것으로 기대하였으나 대부분의 경우 원하는 이미지를 얻기 위해서는 텍스트 프롬프트를 정교하게 조정해가며 많은 실패를 겪어야만 한다. 이러한 한계를 극복하기 위해 클립 인터로게이터(CLIP Interrogator)와 같은 유사 이미지를 재생성하기 위한 텍스트 프롬프트 추정 기술이 개발되었으며 몇몇 이미지에 대해 뛰어난 결과를 보였다. 본 논문에서는 이러한 텍스트 프롬프트 추정 기술의 활용이 한국화를 재생성할 수 있는지 실험을 통해 가능성을 확인하고 향후 한국화 재생성을 위한 연구 방향을 제안하고자 한다.

인공지능기반의 자동 창작 영상에 관한 논구 (A Discussion on AI-based Automated Picture Creations)

  • 김정회;윤준성
    • 문화기술의 융합
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    • 제10권3호
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    • pp.723-730
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    • 2024
  • 본 연구는 자동 창작 영상에 관한 개념과 이해의 변화를 추적하기 위하여, 기존의 영상분야를 대표하는 사진과 영화의 창작 방식을 인공지능 기반의 영상 창작 방법과 '자동'이라는 측면에서 유비적으로 탐구하고, 새로운 자동영상창작에 관한 이해와 가능성을 논구 한다. 사진과 영화의 발명 시기에는, 회화를 비롯한 전통예술 장르와 비견하여, 이들에게 '자동 창작'이라는 영역을 설정한 바 있다. 최근 인공지능이 영상 제작에도 적용되면서 '자동 창작'에 관한 개념도 확장되어, 기존의 문학, 미술, 사진, 영화의 경계를 자유롭게 넘나드는 실험적 창작이 활발하다. 인공지능의 자동 창작은 머신 러닝과 딥 러닝과 같은 기술을 활용하여, 인공지능이 독립적으로 창작 과정을 수행하게 한다. 인공지능을 활용한 자동 창작은 효율성을 크게 향상시킬 수 있지만, 동시에 예술창작과정의 주관적인 판단의 문제에 직면하게 된다. 자동 창작으로 몰렸던 사진과 영화의 창작과정과 인공지능의 창작과정을 비교하면, 자동 창작 영상의 입면은 작가의 문제로 귀착될 수 있다. 그러나 다원적이 예술분야가 소통할 수 있는 기회로 작동된다면, 인공지능기반의 자동 창작 영상은 장르를 넘나드는 방법론이 될 수 있을 것이다.

유사물체 치환증강을 통한 기동장비 물체 인식 성능 향상 (Object Detection Accuracy Improvements of Mobility Equipments through Substitution Augmentation of Similar Objects)

  • 허지성;박지훈
    • 한국군사과학기술학회지
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    • 제25권3호
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    • pp.300-310
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    • 2022
  • A vast amount of labeled data is required for deep neural network training. A typical strategy to improve the performance of a neural network given a training data set is to use data augmentation technique. The goal of this work is to offer a novel image augmentation method for improving object detection accuracy. An object in an image is removed, and a similar object from the training data set is placed in its area. An in-painting algorithm fills the space that is eliminated but not filled by a similar object. Our technique shows at most 2.32 percent improvements on mAP in our testing on a military vehicle dataset using the YOLOv4 object detector.

시선추적장치(Eye Tracking)를 활용한 인공지능(AI) 창작물과 사람의 창작물에 대한 시지각 비교 연구 (Comparative Study on Visual and Perceptual Difference Towards the Artworks of Human and Artificial Intelligence Using Eye-Tracking)

  • 황미경;주이모;박민희;권만우
    • 한국멀티미디어학회논문지
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    • 제25권2호
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    • pp.374-381
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    • 2022
  • This study analyzes the visual perceptual difference of observers in the artworks created by human artists and artificial intelligence(AI) through eye-tracking. More specifically, the study analyzes the degree of visual attention through a fixation experiment on non-linguistic sources such as the formation and expression of artworks. As a result of this study, the subjects had guessed that one out of four artworks were created by AI (in actuality, 61.1% of the artworks were created by The Next Rembrandt). This demonstrates that most of the subjects hardly recognized the difference between the artwork of human artists and AI. From the comparative analysis of visual perceptual differences found through eye-tracking, more visual attention was found to be demanded for catching details of more stimulating visuals compared to less stimulating visuals. In the gender difference analysis, both of the female and male subjects were likely to stare more intently at the flowers of still-life paintings (Deep Dream & Vincent Van Gogh) while the eyes of a portrait painting (Rembrandt & The Next Rembrandt); this demonstrates no significant differences in gender. Various opinions on AI and art creation from different perspectives arose, therefore, this research is meaningful in a way that it suggests an objective examination through experiments with an artistic perspective.

조선시대 풍속화를 통해 본 정원의 풍류적 의미 연구 (A Study on the Garden Meaning of Pungryu through Genre Painting in Joseon Dynasty)

  • 조경진;서영애
    • 한국조경학회지
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    • 제36권5호
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    • pp.94-107
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    • 2008
  • 본 연구는 조선시대 풍속화를 분석하여 당대의 정원이 어떻게 활용되었는가를 추적해 보는 연구이다. 정원의 다양한 의미 중 감각적 즐거움의 장으로서 의미에 초점을 맞춘다. 이를 위해 서구의 감각적 즐거움과 비교되는 동아시아의 미학적 특질인 풍류 개념을 활용한다. 풍류의 개념은 감각적 즐거움을 넘어 정신적 희열로서 인간이 자연과 존재론적으로 조우하는 차원의 의미를 내포한다. 정원에서의 활동을 살펴보기 위해서 일상생활을 포착한 조선시대의 풍속화를 대상으로 하였다. 정원의 경계가 명확하고 구체적인 공간이용행태를 보이는 풍속화로 13점을 선정하여 분석하였다. 그 결과 다음과 같은 특징이 파악되었다. 첫째, 정원은 자연과의 합일을 통한 커뮤니케이션의 장이라는 점이다. 이 자연과의 합일은 사람과의 합일, 예술과의 합일을 촉발하며 공동체의 커뮤니케이션 작용을 가능하게 한다. 둘째, 정원은 문화 창작 공간이라는 점이 확인되었다. 정원은 사람들이 모여 시회를 하는 등 시적인 상상력을 촉진시키는 장소이다. 셋째, 정원은 내면 성찰을 위한 명상의 장이라는 점이다. 이러한 개인적 차원의 풍류가 존재하므로 소박하거나 일상적인 정원도 가치를 가지게 된다. 넷째, 정원은 취향, 권력, 인맥 등 드러내기의 장이라는 점이다. 풍류는 특정 계층에 의하여 추구되는 경향이 있기에, 이러한 계층적 특성이 정원문화에서도 나타난다. 정원과 관련된 풍류문화 역시 개인적인 사색적 풍류에서 유희적 풍류에 이르기까지 다양한 층위가 존재함이 확인되었다. 서구의 자연관이나 문화를 답습하기보다는 우리 선조들이 향유하였던 풍류문화를 현대적으로 재해석하고 보다 일상적이며 친숙하게 번안하는 시도가 요구된다.