Earticle

The rapid advancement in technology has led to the creation of interactive media across various fields, including education, entertainment, advertising, film, gaming, and animation. However, interactive animations have not achieved the same level of popularity as interactive films and games, often due to their complex story structures, additional production steps, high costs, and the necessity for expertise in game engines to enable interactivity. This paper examines the use of artificial intelligence (AI) tools, particularly Convai within Unreal Engine, to establish a more efficient workflow and reduce production costs in interactive 3D animation. The study compares traditional manual production methods using Unreal Engine and ChatGPT with AI-enhanced workflows that incorporate Convai. The findings indicate that AI tools significantly reduce production time and simplify the creation of interactive features. However, Convai has limitations in flexibility and precision, particularly when it comes to customizing features and animations. While AI tools are beneficial for beginners and those with limited programming experience in Unreal Engine due to their user-friendly nature, manual workflows provide greater flexibility for complex interactions and customizations. The research concludes that AI has substantial potential to improve the production of interactive 3D animation, although further advancements are necessary to enhance support for character and animation customization.

시리즈 애니메이션 IP들이 사업 다각화를 위해 웹툰으로 제작되어 서비스되는 경우들이 있는데, 영세한 애니 메이션 제작사들은 웹툰으로 제작할 때 발생하는 노동집약적인 작업 과정과 비용 때문에 접근이 어려운 실정 이다. 이를 위해 함께 협업한 연구실에서 인공지능을 활용하여 <Pitchfork Park> 애니메이션 시리즈의 웹툰 변 환 작업을 자동화하는 시스템을 개발하였다. 해당 시스템을 활용하면 단순 노동적으로 작업자가 일일이 수행 하던 1) 애니메이션 컷 선별, 2) 선별된 컷 재배치, 3) 말풍선 배치, 4) 대사 배치, 5) 효과선 추가 등 상당 부 분을 자동화할 수 있다. 시스템에서 출력된 작업물을 작업자가 확인하고, 후보정 작업을 거쳐 최종 결과물을 완성한다. 기존 작업 과정에서 필요한 노동력과 시간을 절약할 수 있고, 작품의 완성도도 향상시킬 수 있다. 본 연구는 기존 웹툰 작업 과정을 분석하여 인공지능을 활용한 작업 방식의 효율성을 검증하였으며, 결과적으 로 인공지능 기술을 활용한 애니메이션의 웹툰 변환 제작 파이프라인을 구축할 수 있는 토대를 확인하였다.

IPs of animation series are sometimes produced and serviced as webtoons for business diversification. However, small animation production companies face difficulties in accessing webtoon production due to labor-intensive work processes and costs. To achieve this goal, with <Pitchfork Park> animation series as a reference, a collaborative research laboratory has developed a system that utilizes artificial intelligence to automate the process of converting webtoons. By using the system, many labor-intensive tasks that were previously performed manually can now be automated, such as 1) selectinng animation cuts, 2) rearranging animation cuts, 3) placing speech bubbles, 4) placing dialogue, and 5) adding effect lines. The worker checks the output generated by the system and completes the final product through post-processing work. This can save labor and time required in the traditional work process, and also improve the quality of the final product. This study analyzed the webtoon production process and verified the efficiecy of using artificial intelligence in the work process, ultimately confirming the foundation for constructing an animation to webtoon conversion production pipeline for usung artificial intelligence technology.

일상생활에 있어서 인간의 감정을 자극하는 색채는 애니메이션제작에 있어서 중요한 요소 중 하나이다. 색채 연구는 주로 애니메이션 제작에 있어서의 중요성 및 속성에 관련하여 활발하게 이루어져 왔다. 그러나 민족적 특성에 따른 색채에 대한 선호도 연구는 매우 드물다. 본 연구에서는 한국과 중국인의 전통색채에 대한 선호도 차이를 확인하고자 설문조사를 통해 SPSS 통계 패키지를 이용하여 실증적 분석을 실시하였다. 그 결과 한국과 중국 두 집단 모두에서 전통색채인 오색 중 빨강색이 다른 색보다 선호도가 높았으나, 한국과 중국인들이 빨강색을 선호하더라고 빨강색에 대한 선호도의 정도가 다름을 보였다. 또한 10가지 빨강색 중에서 한국인과 중국인의 선호하는 빨강색이 다르게 나타났다. 이러한 결과에 따라 중국 애니메이션 제작에 참여하고자하는 한국과 중국의 애니메이션 제작자는 애니메이션 시장과 관객의 특성을 고려하여 색채를 선택하여야 함을 시사한다.

Colors that stimulate human emotions in everyday life are one of the important factors in animation production. The research on color has been actively carried out in relation to the importance and nature mainly for animation production. However, researches that investigated different views for specific color by geographic characteristics are rare. Therefore, information was collected through questionnaire survey and empirical analysis was conducted using SPSS statistical package to analyze preference of Korean and Chinese people for the Chinese traditional colors. The analysis results showed that both Korean and Chinese groups preferred red color among Chinese traditional colors. This preference for red was statistically significant in both groups, indicating that the intensity of preference for red was different even though Korean and Chinese equally preferred red. Furthermore, among 10 red colors, the preferred red was different between Chinese and Korean. Based on these results, it is suggested that the color should be selected considering the characteristics of the intended market for Chinese animation production and the personality of the viewers who watch the animation products.

한국 사회는 2014년 4월 세월호 참사로 인해 안전사고 예방에 대한 사회적 관심이 높아지고 있다. 이는 빠른 산업화를 통해 압축 성장한 한국사회의 안전의식과 사회적 시스템의 부재를 보여 준 예라 하겠다. 이에 본 연구는 안전문화 개선을 위한 공익의 담론으로 접근하며, 사고 예방과 개선을 위한 안전 애니메이션의 제작 및 평가를 위한 가이드라인을 제시하고자 한다. 이를 위한 연구의 전개는 첫째, 안전문화와 안전사고 발생요인, 안전교육 그리고 애니메이션의 기능적 특성에 대해 문헌연구를 진행한다. 둘째, 앞선 문헌연구를 바탕으로 안전 애니메이션 제작의 순차적 세 단계 및 분석 요소인 (1)상황설정(내러티브 구성 및 캐릭터와 배경디자인), (2)위험요소 도출 및 사고발생(사건유형 및 위험요소, 사고발생장면 연출, 피해정도), (3)안전행동 지침(안전지침 내용구성 및 표현방법)을 도출하여 한국도로공사 등 공공기관에서 제작된 안전관련 애니메이션 11편에 대해 사례분석 한다. 셋째, 문헌연구와 사례분석의 결과를 종합적으로 분석하여, 안전 애니메이션 제작에 대해 위 세 단계를 중심으로 가이드라인을 제시한다. 안전사고 예방을 위한 애니메이션 영상제작의 방법을 제시 한 본 논문은 향 후 안전사고 관련 학술연구와 애니메이션 영상제작의 기초자료로 활용되리라 기대한다.

The Korean society has become increasingly concerned about the safety consciousness because of the Sewol Ferry disaster in April 2014. This shows the absence of social system and safety consciousness of Korean society that has been rapidly growing through fast industrialization. The purpose of this paper is to suggest guidelines for the production of a safety animation by approaching the discourse of public value. For this research process, first, literature review will be conducted by focusing on the safety culture, causes of safety accidents, safety education and educational effect using animation. Second, I will analyze 11 safety animation films by focusing on (1) construction of accident environment(narrative, character and background design) (2) exploration of dangerous elements and accident happening(accident type and dangerous elements, method of direction for accident happening, damage degree) (3) the guideline for safety behaviour. Third, guidelines for the production of safety animation will be suggested by analyzing the results of literature reviews and case studies in a comprehensive way. It is expected that this paper will be used as a basic data for academic research and animation production related to the safety accident.

현재 가상현실 영상콘텐츠는 관련 하드웨어와 소프트웨어의 빠른 성장으로 사용자 수가 빠르게 늘고 있다. 이에 가상현실 애니메이션 또한 영상콘텐츠 분야 중 빠르게 가상현실 기술과 융합하여 새로운 형태로 제작되고 있다. 현재 가상현실 애니메이션 관련 연구는 영화의 기술적인 제작 방법과 연출법 등에 집중되어 왔으며 효율적인 VR 애니메이션 제작을 위한 파이프라인을 정리한 연구는 아직 없었다. 이에 본 연구에서는 가상현실 애니메이션 중에서도 프리렌더 방식의 VR 애니메이션의 효율적인 제작을 위하여 기존 3D 애니메이션의 제작 파이프라인과의 비교를 통하여 프리렌더 VR 애니메이션 파이프라인의 특성을 도출하였다. 이를 통하여 효율적인 프리렌더 VR 애니메이션의 제작을 위해서 VR 애니메이션의 제작 과정에 적합한 프로덕션과 포스트 프로덕션 과정의 유기적인 통합과 Render Pass를 활용한 렌더링 시간의 단축을 제시하여 효과적인 Pipeline을 제시하였다.

Currently, Virtual Reality video content is rapidly increasing in number of users due to the rapid growth of related hardware and software. Accordingly, Virtual Reality animation is also being produced in a new form by rapidly integrating with Virtual Reality technology among video contents. Currently, research on Virtual Reality animation has focused on how films are produced and how they are directed, and no research has been done to organize the pipeline for efficient VR animation production. Therefore, this study drew the characteristics of the pre-render VR animation pipeline by comparing it with the production pipeline of the existing 3D animation to produce the VR animation efficiently. Through this, we presented organic integration of production and post production processes suitable for the production of VR animations and reduced rendering time using Render Pass for efficient production.

This study takes a comprehensive look at how technological advances have changed the way 2D animation is created. Humans are constantly looking for new ways and technologies to express movement, which has led to many changes in the way 2D animation is produced. In this study, we will examine the impact of these changes on 2D animation production and explore the possibilities for future developments. In the early days of 2D animation, the production method was repeatedly changed by the invention of technologies such as celluloid sheets, rotoscopes, and multiplane cameras, while the advent of digital technology has led to revolutionary changes such as the development of CAPS(computer animation production systems), various digital tools, and the combination of 2D and 3D. In addition, the recent introduction of generative AI is rapidly changing the way 2D animation is produced by automatically handling various tasks. These advances have not only streamlined the production of animation, but have also reduced costs by shortening the production period, and greatly improved the quality of animation by making it easier to implement complex and sophisticated visual effects. The introduction of generative AI has pushed the boundaries of what can be represented in 2D animation. On the other hand, the introduction of digital technology has its drawbacks, as the mechanical and uniform style produced by digital tools can reduce originality and individuality, but advances in technology will open up the possibilities for 2D animation to be produced in a variety of ways, as it fosters the creation of new expressions and creative content.

본 연구는 생성형 AI 기술의 확산으로 변화하고 있 는 애니메이션 제작 환경을 제작 파이프라인 관점에서 분석하고, 일러스트레이션 기반 창작자가 작가 오리지 널리티를 유지하면서 AI를 활용할 수 있는 제작 전략 을 고찰하는 데 목적이 있다. 특히 AI 이미지 생성과 AI 영상 생성 단계에서 나타나는 제어 가능성의 차이 에 주목하여 제작 과정 전반의 설계 문제임을 논의한 다. 연구 결과, AI 이미지 생성 단계에서는 스토리보드 와 레이아웃을 제시할 경우 비교적 안정적인 시각적 제 어가 가능하지만, AI 영상 생성 단계에서는 프레임 간 연속성, 카메라 앵글, 인물의 위치와 비율 등이 불안정 하게 생성되는 한계가 확인되었다. 이는 현재의 AI 영 상 생성 기술이 확률적 생성 구조에 기반한 과도기적 단계에 있음을 보여주며, 모든 시각 요소를 AI에 위임 하는 방식이 반드시 효율적이거나 안정적인 결과로 이 어지지 않음을 시사한다. 이에 본 연구는 현시점에서의 효율적인 제작 전략으로, 이미 검증된 원화를 유지한 채 움직임과 시간적 변화만을 AI로 보조하는 원화 기 반 AI 애니메이션 제작 방식을 제안한다. 또한, 이미지 레퍼런스 기반 생성 과정에서 발생하는 색 재현 공정성 문제를 함께 논의함으로써, 생성형 AI 애니메이션 제작 이 기술 활용을 넘어 시각적 정체성과 작가성 유지의 문제와 긴밀하게 연결되어 있음을 밝혔다. 특히 원화기반 제작 방식은 색채 정보와 스타일을 안정적으로 유 지할 수 있는 기준점을 제공함으로써, 영상화 과정에서 발생하는 색 왜곡과 시각적 불안정성을 완화할 가능성 을 지닌다. 이에 본 연구는 원화를 유지한 채 움직임만 을 AI로 보조하는 원화 기반 AI 애니메이션 제작 방식 을 하나의 현실적인 대안으로 제시하며, 작가성 유지의 중요성을 함께 논의한다.

This study examines the rapidly changing animation production environment shaped by the expansion of generative AI technologies from a production pipeline perspective and explores strategies that enable illustration-based creators to utilize AI while preserving authorial originality. In particular, the study highlights differences in controllability between AI image and AI video generation and frames them as issues of production design rather than tool performance. The findings indicate that AI image generation allows relatively stable visual control when storyboards and layouts are clearly defined, whereas AI video generation remains limited in maintaining frame continuity, camera angles, and character scale and positioning. These limitations reflect the inherent probabilistic nature of AI video generation technologies and suggest that delegating all visual elements to AI does not necessarily lead to efficient or stable outcomes. In response, this study proposes an original artwork–based AI animation production approach, in which validated original images are preserved while AI supports motion. This approach is further discussed in terms of its implications for maintaining visual identity and authorship.

그동안 CG제작공정의 효율성을 향상시키기 위한 많은 연구가 있었지만, 작업 중간에 결과물의 확인이 어렵고 렌더 링 타임에 많은 시간이 소요된다는 문제점을 극복하기는 쉽지 않았다. 그러나 최근 실시간으로 결과물의 확인이 가능한 언리 얼 라이브 링크의 활용 가능성이 커지면서 제작공정의 효율성 향상에 대한 기대감이 높아지고 있다. 이에 이 연구에서는 언리 얼 라이브 링크를 이용한 3D 애니메이션 제작공정의 효율성을 분석하였다. 이를 위해 마야로 모델링, 리깅, 애니메이션, 레이 아웃 작업을 하고 언리얼 라이브 링크를 통해 언리얼 엔진에서 최종 아웃풋 이미지 시퀀스를 도출하는 방식으로 3D 애니메이 션을 제작하였다. 그리고 3D 소프트웨어 자체에서 최종 아웃풋 이미지 시퀀스를 을 도출하는 기존의 제작공정과 본 제작공정 의 차이점을 비교 분석하였다. 분석 결과 전통적인 3D 애니메이션의 제작공정과 달리 높은 퀄리티의 최종결과물을 보여주는 뷰포트 화면을 통해 작업을 진행함으로써 실시간으로 최종 작업 결과물을 확인하는 것이 가능하였으며, 실시간 화면 캡쳐를 통해 최종결과물을 도출함으로써 작업의 효율성이 극대화되는 것을 알 수 있었다. 최근 3D 애니메이션과 영화 산업현장에서 게임 엔진을 활용하는 사례가 점차 늘고 있는데, 언리얼 라이브 링크를 활용할 경우 작업의 효율성이 매우 극대화될 것으로 예상된다.

There have been many studies to improve the efficiency of the CG production process, but it was not easy to overcome the problem that it was difficult to check the result in the middle of work and it took a lot of time for rendering. However, as the possibility of using Unreal Live Link, which can check the result in real-time, is increasing, expectations for improving the efficiency of the production process are rising. This study analyzed the efficiency of the 3D animation production process using Unreal Live Link. To this end, modeling, rigging, animation, and layout work were done in Maya, and the final output image sequence was rendered in Unreal Engine through Unreal Live Link. And the difference between this production process and the existing production process in which the final output image sequence is rendered in the 3D software itself was compared and analyzed. As a result of the analysis, unlike the traditional 3D animation production process, it was possible to check the final work result in real-time by proceeding with the work through a high-quality viewport screen, and it was found that the efficiency of work was maximized by deriving the final result through real-time screen capture. Recently, the use of game engines in the 3D animation and film industry is gradually increasing, and the efficiency of work is expected to be maximized if Unreal Live Link is used.

본 연구에서는 대화구문 기반 영상 콘텐츠를 위한 캐릭터 제작 흐름을 설정하고, 폼 노아의 마우스 차트를 활용하여 3D 캐릭터에 lip-sync Animation을 적용해 캐릭터를 제작해보았다. 애니메이션 프레임 간 부드러운 연출이 가능한 Vertex Animation Morphing 기법은 자연스러운 입 모양을 표현함으로써 시각적인 정보의 전달을 통해 캐릭터에 대한 몰입감을 높이고 학습자에게 종전보다 높은 전달력을 가질 수 있을 것으로 사료된다.

In this study, the dialog syntax-based video content production flow for the character set, 'Form Noah' chart using the mouse, lip-sync Animation been making 3D characters were applying. Vertex Animation Morphing techniques by expressing the natural shape of the mouth for the characters engaging and the transmission of visual information for the viewers to be able to get a high intelligibility is considered.

본 연구는 발달장애인의 스포츠 참여 기회를 확대하기 위해 가정에서 혼자 연습할 수 있는 핸드볼 준비운동 3D 애니메이션을 제작하였다. 이를 위해 3D 아바타 모델링, 믹사모(Mixamo) 기반 자동 리깅 및 블렌더(Blender)를 활용한 FK/IK 리깅을 수행하였으며, 준비운동(발목·무릎·허리운동), 스트레칭(발목 플렉션, 어깨, 척추기립근), 근력운동(상·하체 및 어깨·다리·엉덩이 강화운동) 등 총 10가지 동작을 애니메이션화하였다. 또한, 자연스러운 움직임을 위해 모션 캡처 데이 터를 적용하고, 발달장애인의 학습 효과를 높이기 위해 애니메이션 속도 조정 및 반복 학습 기능을 추가하였다. 제작된 콘텐츠는 유니티(Unity) 기반의 메타버스 환경에서 배치 및 시험되었으며, 장애인을 위한 가상 핸드볼 체험 및 교육 자료 로 활용할 수 있다. 본 연구는 디지털 기술을 활용한 체육 교육 접근성을 높이고, 발달장애인의 운동 참여를 촉진하는 데 기여할 수 있음을 확인하였다

This study aims to enhance sports participation opportunities for individuals with developmental disabilities by creating a 3D animation of handball warm-up exercises that can be practiced at home. The development process included 3D avatar modeling, Mixamo-based automatic rigging, and FK/IK rigging using Blender. A total of 10 movements were animated, including warm-up exercises (ankle, knee, and waist movements), stretching (ankle flexion, shoulder, and erector spinae), and strength training (upper and lower body, shoulder, leg, and hip strengthening exercises). Motion capture data was applied to ensure natural movement, and animation speed adjustments and repetition learning features were incorporated to enhance learning effectiveness. The developed content was deployed and tested in a Unity-based metaverse environment, exploring its potential as a virtual handball training and educational tool for individuals with disabilities. This study confirms that digital technology can improve access to physical education and promote sports participation for individuals with developmental disabilities.

필름 채색(Drawn-on-film) 애니메이션 기법은 어떠한 영상 콘텐츠 분야 속에서 주도적으로 이용되거나 주목 받지 못한 기법으로서 본 연구를 통해 과거 실험적 기법을 새롭게 발굴 모색하여 애니메이션 장르의 미래적 방향과 미학적 측면을 강화하고자 하는 의미가 있다. 연구의 내용은 연구자가 교육적 프로그램 개발을 위해 필름 채색 (Drawn-on-film) 애니메이션 기법을 실제 교육현장에서 응용하고 학습에 활용하며 얻은 결과물과 경험적인 정보, 그 리고 이를 통해 새롭게 창출된 기법 등을 체계화하여 소개했다. 이 과정에서 대안적 디지털 제작 시스템을 제안하여 제작 과정들을 비교 실연하였고 궁극적으로 애니메이션 장르의 기법 발전에 도움이 될 수 있도록 연구하고 제시했다.

Drawn-on-film animation technique is one that neither is actively used nor receives attention in any video content area. This paper means to strengthen animation genre's future direction and aesthetic aspect by seeking to newly discover previous experimental techniques through this paper. Taking into account the details of paper, it was intended to systematize and introduce results and experiential information obtained by researcher from applying drawn-on-film animation techniques in actual educational arena and utilizing these in learning and newly created techniques and the like through this. Production processes were comparatively demonstrated after suggesting an alternative digital production system in this process. And ultimately, a study and proposal was made so as to be helpful in developing the techniques of animation genre.

디지털콘텐츠 산업의 핵심 요소인 게임·애니메이션·영상은 그 수요의 확대에 따라 관련 인력 양성이 갈수록 전문화되고 있다. 게임·애니메이션·영상 분야의 교육은 창의적 사고와 융합적 태도 그리고 문제해결 능력이 중요시 되는 창의 융합 참여형 인재양성에 있다. 이에 본 논문은 게임·애니메이션·영상 분야 창의융합 참여형 인재 양성을 위한 프리 프러덕션 중심의 PBSL(Project based Self Learning) 수업모형을 제시하고자 한다. 이를 위한 연구의 전개는 창의 융합 인재의 구성요소와 프로젝트 수업의 특성, 그리고 관련 직무 역량에 대해 문헌을 중심으로 고찰하였으며, 이에 따른 PBSL수업모형의 핵심요소는 창의성, 융합적 태도, 자율성으로 분류 하였다. 이를 기초하여, 창의적 사고와 융합적 태도 그리고, 학생들의 자율성이 실현될 수 있는 프로젝트 형의 ‘Project Based Self Learning’ 수업모형을 개발한다. PBSL을 적용한 D대학교 <콘텐츠워크샾> 수업에 대해 사례분석하고, 설문조사를 진행한 결과 자율성 측면이 창의성과 융합적 태도에 비해 만족도가 높게 나왔으며, 이는, 학생 스스로 프로젝트 진행에 대한 자율성과 동기부여가 향상되었음 을 알 수 있다. 다만, 만족도가 낮게 분석된 융합적 측면에 대한 추후 보완이 필요하다.

Key areas of digital contents, the games and animation industries are increasingly expanding. Therefore, training of a specialized workforce is required in accordance with these enterprises’ growing demand. Education in the field of games and animation lies in cultivating talents with creative thinking, collaboration, and problem-solving skills. Thus, this paper aims to propose a PBSL teaching model for creative convergent talent through game and animation projects. The study will focus on the characteristics of creative convergence talents, project teaching, and related job competencies for game and animation education. Based on literature research, a 'Project Based Self Learning' instructional model is presented, in which creative thinking and collaboration competencies are explained in a way they can be performed by the learner. As a case study, D University’s <Content Workshop> class was applied with PBSL. A survey showed that the autonomy aspects were higher than the creativity and convergence attitudes, indicating that the students improved their autonomy and motivation. However, the team composition needs further supplementation.

Looking at the recent game market, classic games released in the past are being re-released with highquality visuals, and users are generally satisfied. It can be said that the realization of realistic digital actors, which was not possible in the past, is now becoming a reality. Epic Games launched the MetaHuman Creator website in September 2021, allowing anyone to easily create realistic human characters. Since then, the number of animations created using MetaHumans has been increasing. As the characters become more realistic, the movement and expression animations expected by the audience must also be convincingly realized. Until recently, traditional methods were the primary approach for producing realistic character animations. For facial animation, Epic Games introduced an improved method on the Live Link app in 2023, which provides the highest quality among mobile-based techniques. In this context, this paper compares the results of animation produced using both keyframe facial capture and mobile-based capture. After creating an emotional expression animation with four sentences, the results were compared using Unreal Engine. While the facial capture method is more natural and easier to use, the precise and exaggerated expressions possible with the keyframe method cannot be overlooked, suggesting that a hybrid approach using both methods will likely continue for the foreseeable future.

The development of CG technology throughout the 2000s brought about a significant growth in the animation market. This phenomenon led to an increase in the number of people required by related industries, which led to an increase in the number of related majors in universities. CG application technologies are becoming more common with the advent of YouTube and virtual YouTubers, but high technology is still required for students to get a job. This situation is not easy to include both technological and creative skills in the college animation curriculum. In order to increase students' creativity, we need a lot of production experience, which requires a lot of knowledge and time if we only use tools like Maya and 3D Max. In this paper, We tried to devote more time to storytelling by minimizing the technical process required for production and proceeding with repetitive or difficult processes for content creation using third-party programs. And through the 12-week class, the experimental production process was applied to the process from planning to completion of animation works that students would submit to the advertisement contest.

Recently, case presentations using AI functions such as ChatGPT are increasing in many industrial fields. As AI-based results emerge even in the areas of images and videos, traditional animation production tools are in need of significant changes. Unreal Engine is the tool that adapts most quickly to these changes, proposing a new animation production workflow by integrating tools such as Metahuman and Marvelous Designer. Working with realistic metahumans allows for the production of realistic and natural movements, such as those captured through motion capture data. Implementing this approach presents many challenges for production tools that adhere to traditional methods. In this study, we investigated the differences between the cell animation workflow and the computer graphics animation production workflow. We compared and analyzed whether these differences could be reduced by creating sample movements using character rigs in Maya and Cascadeur tools. Our results showed that a similar cell animation workflow could be constructed using the Cascadeur tool. To improve the accuracy of our conclusions, we created large, action-packed short animations to demonstrate and validate our findings.

Recently, webtoons-based animations have been expanding in Korea, where the role of mobile devices is growing, and media videos such as "YouTube" and "Tik-Tok," which have shorter screening and production cycles than traditional feature films, dramas, and animations, are attracting attention and being enjoyed by public. In order to produce animation content that fits the trend of this shortening video and production cycle, efficiency must be increased not only in story but also in production. Production methods and production technologies need changes to increase efficiency. Animation using motion capture, which is highly productionefficient, is widely used in movies that shows realistic movements, but still has little use in producing cartoonstyle animations with exaggerated movements. We analyzed the production method of 2D animation and CG animation and applied the result to CG animation to increase the efficiency of production and production. The methods of production through such experiments are expected to help improve the efficiency of producing animation content that is suitable for the latest trends such as webtoon animation.

In recent years, Unreal Engine has been increasingly included in the animation process produced in the studio. In this case, there will be more than one of main software, and it is very important to accurately transfer data between the software and Unreal Engine. In animation data, not only the animation data of the character but also the animation data of objects interacting with the character must be individually produced and transferred. Most of the objects that interact with the character have a condition of constraints with the part of character. In this paper, I tried to stipulate the production process for extracting animation data of constrained objects, and to analyze why users experience difficulties due to the complexity of the regulations in the process of executing them. And based on the flowchart prescribed for user convenience, I created a program using a Python script to prove the user's convenience. Finally, by comparing the results generated according to the manual flowchart with the results generated through the script command, it was found that the data were consistent.

With the recent increase in YouTube content, many YouTubers are shooting with a handheld camera. Audiences are increasingly accustomed to the movement of handheld cameras. As the camera moves faster than the camera movement of the old movies, and the camera moves splendidly to the music of the music video, the camera movement in CG animation is also needed to change. The handheld Steadicam creates a natural camera movement by compensating so that the screen does not vibrate significantly even when the vibration is large and by minimizing rotation. In order to implement such camera movement, we tried to make a handheld Steadicam using nParticle simulation of Maya software and apply it to the scene to verify whether it is possible to implement the necessary natural and various movement.

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.