• Title/Summary/Keyword: AI character

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Comparative Analysis of AI Painting Using [Midjourney] and [Stable Diffusion] - A Case Study on Character Drawing -

  • Pingjian Jie;Xinyi Shan;Jeanhun Chung
    • International Journal of Advanced Culture Technology
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    • v.11 no.2
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    • pp.403-408
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    • 2023
  • The widespread discussion of AI-generated content, fueled by the emergence of consumer applications like ChatGPT and Midjourney, has attracted significant attention. Among various AI applications, AI painting has gained popularity due to its mature technology, user-friendly nature, and excellent output quality, resulting in a rapid growth in user numbers. Midjourney and Stable Diffusion are two of the most widely used AI painting tools by users. In this study, the author adopts a perspective that represents the general public and utilizes case studies and comparative analysis to summarize the distinctive features and differences between Midjourney and Stable Diffusion in the context of AI character illustration. The aim is to provide informative material forthose interested in AI painting and lay a solid foundation for further in-depth research on AI-generated content. The research findings indicate that both software can generate excellent character images but with distinct features.

A Study on Character Design Using [Midjourney] Application

  • Chen Xi;Jeanhun Chung
    • International Journal of Advanced Culture Technology
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    • v.11 no.2
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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.

Study on AI-based content reproduction system using movie contents (영화를 이용한 AI 기반 콘텐츠 재생산 시스템 연구)

  • Yang, Seokhwan;Lee, Young-Suk
    • Journal of Korea Multimedia Society
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    • v.24 no.2
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    • pp.336-343
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    • 2021
  • AI technology is spreading not only to industrial fields, but also to culture, art, and content fields. In this paper, we proposed a system based on AI technology that can automate the process of reproducing contents using characters for movie contents. After creating the basic appearance of the character by using the StyleGAN2 model from the video extracted from the movie contents, analyzing the character's personality and propensity using the extracted dialogue data, it was determined from the contemplative appearance based on the yin-yang and five elements to the character's propensity. Accordingly, the external characteristics are reflected in the character. Using the OpenPose model, a character's motion is created, and the finally generated data is integrated to reproduce the content. It is expected that many movie contents can be reproduced through the study of the proposed system.

A Neural Network-based Artificial Intelligence Algorithm with Movement for the Game NPC (게임 NPC를 위한 신경망 기반의 이동 안공지능 알고리즘)

  • Joe, In-Whee;Choi, Moon-Won
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.12A
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    • pp.1181-1187
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    • 2010
  • This paper proposes a mobile AI (Artificial Intelligence) conducting decision-making in the game through education for intelligent character on the basis of Neural Network. Neural Network is learned through the input/output value of the algorithm which defines the game rule and the problem solving method. The learned character is able to perceive the circumstances and make proper action. In this paper, the mobile AI using Neural Network has been step-by-step designed, and a simple game has been materialized for its functional experiment. In this game, the goal, the character, and obstacles exist on regular 2D space, and the character, evading obstacles, has to move where the goal is. The mobile AI can achieve its goals in changing environment by learning the solution to several problems through the algorithm defined in each experiment. The defined algorithm and Neural Network are designed to make the input/output system the same. As the experimental results, the suggested mobile AI showed that it could perceive the circumstances to conduct action and to complete its mission. If mobile AI learns the defined algorithm even in the game of complex structure, its Neural Network will be able to show proper results even in the changing environment.

Artificial Intelligence Techniques in Game Contents

  • Ko Sang-Su;Chae Song-Hwa;Nam Byung-Woo;Kim Won-Il
    • International Journal of Contents
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    • v.2 no.3
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    • pp.18-21
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    • 2006
  • Nowadays, many people enjoy playing games in computer. In this kind of game, people often meet NPC (Non Player Character). It is the virtual character in simplified form of real player and exits in most of current computer games. Various NPCs add the reality and atmosphere of the game as well as help players. There are several techniques to embody NPC, but developers generally use AI technique. This paper discusses some artificial intelligence techniques used in game contents. Especially this paper focuses on the AI techniques used in computer games in terms of the two main approaches, symbolic approach and sub-symbolic approach.

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A Design of AI Middleware for Making Interactive Animation Characters (인터랙티브한 애니메이션 캐릭터 제작을 위한 인공지능 미들웨어 설계)

  • Lee, Seung-Sub;Um, Ky-Hyun;Cho, Kyung-Eun
    • Journal of Korea Game Society
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    • v.8 no.1
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    • pp.91-101
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    • 2008
  • Most designers use professional 3D animation tools such as 3DS MAX to manually create animation. This manual method requires a great deal of time and efforts, and does not allow animation characters to interact with one another. In this paper, we design an AI middleware of form as 3DS MAX plug-in to solve these issues. We present an AI expression structure and internal processing method for this middleware, and the method for creating AI character's structure. It creates AI character's structure by drawing figures and lines for representing AI elements. For experiment, we have produced same animations with the traditional method and our method, and measured the task volume in both methods. This result verifies that the task volume is similar or higher than the traditional method in small-scale tasks, but up to 43% of the task volume is reduced in large-scale tasks. Using the method proposed in this paper, we see that characters in an animation interact each other, and task volume in large-scale tasks are reduced.

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A Study on Character Consistency Generated in [Midjourney V6] Technology

  • Xi Chen;Jeanhun Chung
    • International journal of advanced smart convergence
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    • v.13 no.2
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    • pp.142-147
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    • 2024
  • The emergence of programs like Midjourney, particularly known for its text-to-image capability, has significantly impacted design and creative industries. Midjourney continually updates its database and algorithms to enhance user experience, with a focus on character consistency. This paper's examination of the latest V6 version of Midjourney reveals notable advancements in its characteristics and design principles, especially in the realm of character generation. By comparing V6 with its predecessors, this study underscores the significant strides made in ensuring consistent character portrayal across different plots and timelines.Such improvements in AI-driven character consistency are pivotal for storytelling. They ensure coherent and reliable character representation, which is essential for narrative clarity, emotional resonance, and overall effectiveness. This coherence supports a more immersive and engaging storytelling experience, fostering deeper audience connection and enhancing creative expression.The findings of this study encourage further exploration of Midjourney's capabilities for artistic innovation. By leveraging its advanced character consistency, creators can push the boundaries of storytelling, leading to new and exciting developments in the fusion of technology and art.

An Intelligent NPC Framework for Context Awareness (상황인지를 위한 지능형 NPC 프레임워크)

  • Lee, Bong-Keun;Chung, Jae-Du;Ryu, Keun-Ho
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.9
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    • pp.2361-2368
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    • 2009
  • Recently AI(Artificial Intelligence) is one of the issues in the on-line game, a research that a game character seems to be realistic and is progressing using AI technique. Especially NPC is an important part of the AI researches of on-line game, and it is concerned by a game player and an architect. We proposed an intelligent agent framework to implement the NPC technique after studying the NPC technique using context awareness that reacts to the PC(Player Character) actively. Also, it can be developed gradually, and apply to various application because it has the capability to of adding an agent or deleting an agent easily.

Character Recognition Algorithm in Low-Quality Legacy Contents Based on Alternative End-to-End Learning (대안적 통째학습 기반 저품질 레거시 콘텐츠에서의 문자 인식 알고리즘)

  • Lee, Sung-Jin;Yun, Jun-Seok;Park, Seon-hoo;Yoo, Seok Bong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.11
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    • pp.1486-1494
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    • 2021
  • Character recognition is a technology required in various platforms, such as smart parking and text to speech, and many studies are being conducted to improve its performance through new attempts. However, with low-quality image used for character recognition, a difference in resolution of the training image and test image for character recognition occurs, resulting in poor accuracy. To solve this problem, this paper designed an end-to-end learning neural network that combines image super-resolution and character recognition so that the character recognition model performance is robust against various quality data, and implemented an alternative whole learning algorithm to learn the whole neural network. An alternative end-to-end learning and recognition performance test was conducted using the license plate image among various text images, and the effectiveness of the proposed algorithm was verified with the performance test.

A Study on the Intelligent NPC in MMORPG (MMORPG에서의 지능형 NPC에 관한 연구)

  • Lee, Eun-Hee;Park, Choong-Shik;Cho, Sung-Hyun
    • Proceedings of the Korea Contents Association Conference
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    • 2006.05a
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    • pp.388-391
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    • 2006
  • In the lately fews years, it take a growing interested in game AI and study zealously on game AI. In this paper, we research an usual individuality of NPC(Non-Player Character) on MMORPG(Massively Multiplayor Online Role Playing Game) and An AI technique on computer game. we study on a role and an individuality of NPC for take-up the game, moreover, we research on technique of game AI for take-up the game.

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