Publication Frequency
Quarterly (since 2025)
Journal Articles
Search
Search scope
Journal Center
Asia Pacific Academy of Science Pte. Ltd. (APACSCI) specializes in international journal publishing. APACSCI adopts the open access publishing model and provides an important communication bridge for academic groups whose interest fields include engineering, technology, medicine, computer, mathematics, agriculture and forestry, and environment.
Volume Arrangement
2025
2024
Featured Articles
Reconstructing the human body from monocular video input presents significant challenges, including a limited field of view and difficulty in capturing non-rigid deformations, such as those associated with clothing and pose variations. These challenges often compromise motion editability and rendering quality. To address these issues, we propose a cloth-aware 3D Gaussian splatting approach that leverages the strengths of 2D convolutional neural networks (CNNs) and 3D Gaussian splatting for high-quality human body reconstruction from monocular video. Our method parameterizes 3D Gaussians anchored to a human template to generate posed position maps that capture pose-dependent non-rigid deformations. Additionally, we introduce Learnable Cloth Features, which are pixel-aligned with the posed position maps to address cloth-related deformations. By jointly modeling cloth and pose-dependent deformations, along with compact, optimizable linear blend skinning (LBS) weights, our approach significantly enhances the quality of monocular 3D human reconstructions. We also incorporate carefully designed regularization techniques for the Gaussians, improving the generalization capability of our model. Experimental results demonstrate that our method outperforms state-of-the-art techniques for animatable avatar reconstruction from monocular inputs, delivering superior performance in both reconstruction fidelity and rendering quality.
The Charta of Rigas Velestinlis is one of the most important works of the eighteenth-century Neo-Hellenic Enlightenment and the most characteristic sample of Greek scholar cartography. Printed in Vienna in 1220 copies in 1796-1797, this emblematic map of the Balkan peninsula significantly influenced the development of ideas and perspectives that inspired the Greek War of Independence from the Ottoman Empire in 1821. The sixty (60) known remaining copies of this valuable material in Greece and abroad remain stored in the confined spaces of libraries, museums, and archives, strictly guarded for security, conservation, and preservation. This renders their access difficult to both the general public and the educational community. Since the Onassis Library and the General State Archives of Greece—Cartographic Heritage Archives both possess an original copy of this historical document each, they design and implement many educational programs aiming at highlighting its importance and reintroducing it to the public. This paper will present how the usage of new technologies, both in software and hardware, has facilitated the showcasing of cultural heritage artifacts, such as Rigas’ Charta, with an emphasis on technologies and resources that are freely available to everyone. It will also be demonstrated how the digitization projects, the digital libraries, repositories, and platforms implemented by many cultural and research organizations during the last decade, presented the opportunity for the new generation to come in contact with a variety of “locked away” historical documents, like Rigas’ Charta, allowing their reuse and reinterpretation while providing unlimited potential for the collection, research and presentation of facts, evidence and data. Furthermore, the incorporation of this digital cultural wealth in the school curriculum through targeted educational programs and the creative combination with open-source metaverse development tools, unleashed the possibilities of reviving the past, extending the life span of old materials to perpetuity. As a result, this multimodal approach paved the way for the emergence of a new more democratic, open-access, and inclusive educational model.
In this groundbreaking study, we present a novel approach to interspecies communication, focusing on the understanding of chicken vocalizations. Leveraging advanced mathematical models in artificial intelligence (AI) and machine learning, we have developed a system capable of interpreting various emotional states in chickens, including hunger, fear, anger, contentment, excitement, and distress. Our methodology employs a cutting-edge AI technique we call Deep Emotional Analysis Learning (DEAL), a highly mathematical and innovative approach that allows for the nuanced understanding of emotional states through auditory data. DEAL is rooted in complex mathematical algorithms, enabling the system to learn and adapt to new vocal patterns over time. We conducted our study with a sample of 80 chickens, meticulously recording and analyzing their vocalizations under various conditions. To ensure the accuracy of our system’s interpretations, we collaborated with a team of eight animal psychologists and veterinary surgeons, who provided expert insights into the emotional states of the chickens. Our system demonstrated an impressive accuracy rate of close to 80%, marking a significant advancement in the field of animal communication. This research not only opens up new avenues for understanding and improving animal welfare but also sets a precedent for further studies in AI-driven interspecies communication. The novelty of our approach lies in its application of sophisticated AI techniques to a largely unexplored area of study. By bridging the gap between human and animal communication, we believe our research will pave the way for more empathetic and effective interactions with the animal kingdom.
Empirical insights into AI-assisted game development: A case study on the integration of generative AI tools in creative pipelines
Article ID: 2568
Vol 5, Issue 2, 2024
DOI: https://doi.org/10.54517/m.v5i2.2568
Vol 5, Issue 2, 2024
Received: 6 March, 2024; Accepted: 13 June, 2024; Available online: 2 July, 2024; Issue release: 31 December, 2024
Download PDF
Abstract
This study conducts an empirical exploration of generative Artificial Intelligence (AI) tools across the game development pipeline, from concept art creation to 3D model integration in a game engine. Employing AI generators like Leonardo AI, Scenario AI, Alpha 3D, and Luma AI, the research investigates their application in generating game assets. The process, documented in a diary-like format, ranges from producing concept art using fantasy game prompts to optimizing 3D models in Blender and applying them in Unreal Engine 5. The findings highlight the potential of AI to enhance the conceptualization phase and identify challenges in producing optimized, high-quality 3D models suitable for game development. This study reveals the current limitations and ethical considerations of AI in game design, suggesting that while generative AI tools hold significant promise for transforming game development, their full integration depends on overcoming these hurdles and gaining broader industry acceptance.
Keywords
generative AI; game development pipeline; conceptualization; 3D modeling; ethical considerations
References
- Zweig B. Forgotten Genealogies: Brief Reflections on the History of Digital Art History. International Journal for Digital Art History. 2015; (1).
- Mikalonytė ES, Kneer M. Can Artificial Intelligence Make Art? Folk Intuitions as to whether AI-driven Robots Can Be Viewed as Artists and Produce Art. ACM Transactions on Human-Robot Interaction. 2022; 11(4): 1–19. doi: 10.1145/3530875
- Li S, Zhou Y. Pipeline 3D Modeling Based on High-Definition Rendering Intelligent Calculation. Mathematical Problems in Engineering. 2022; 2022: 1–11. doi: 10.1155/2022/4580363
- Tchomdji LOK, Park SJ, Kim R. Developing Virtual Tour Content for the Inside and Outside of a Building using Drones and Matterport. International Journal of Contents. 2022; 18(3): 74–84.
- Harrington MCR, Jones C, Peters C. Course on virtual nature as a digital twin: botanically correct 3D AR and VR optimized low-polygon and photogrammetry high-polygon plant models. ACM SIGGRAPH 2022 Courses. 2022; 1–69. doi: 10.1145/3532720.3535663
- Brittain B. Artists take new shot at Stability, Midjourney in updated copyright lawsuit. Reuters. Available online: https://www.reuters.com/legal/litigation/artists-take-new-shot-stability-midjourney-updated-copyright-lawsuit-2023-11-30/updated-copyright-lawsuit-2023-11-30/ (accessed on 5 June 2024).
- Schmidt R, Isenberg T, Jepp P, et al. Sketching, scaffolding, and inking: a visual history for interactive 3D modeling. In: Proceedings of the 5th international symposium on Non-photorealistic animation and rendering; 2007. doi: 10.1145/1274871.1274875
- Madhavadas V, Srivastava D, Chadha U, et al. A review on metal additive manufacturing for intricately shaped aerospace components. CIRP Journal of Manufacturing Science and Technology. 2022; 39: 18–36. doi: 10.1016/j.cirpj.2022.07.005
- Cheng R, Wu N, Chen S, et al. Reality Check of Metaverse: A First Look at Commercial Social Virtual Reality Platforms. In: Proceedings of the 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW); 2022. doi: 10.1109/vrw55335.2022.00040
- Korbel JJ, Siddiq UH, Zarnekow R. Towards Virtual 3D Asset Price Prediction Based on Machine Learning. Journal of Theoretical and Applied Electronic Commerce Research. 2022; 17(3): 924–948. doi: 10.3390/jtaer17030048
- Zhang Y. Cross-Platform Methods in Computer Graphics That Boost Experimental Film Making. Available online: https://scholarworks.rit.edu/cgi/viewcontent.cgi?article=12190&context=theses (accessed on 5 June 2024).
- Favreau J. The Mandalorian. Disney; 2019.
- Anderson K. The mandalorian’s virtual sets are wild. Nerdist. Available online: https://nerdist.com/article/mandalorian-virtual-production-star-wars/ (accessed on 5 June 2024).
- Dent S. See how ‘the mandalorian’ used Unreal Engine for its real-time digital sets. Engadget. Available online: https://www.engadget.com/2020-02-21-mandalorian-ilm-stagecraft-real-time-digital-sets.html (accessed on 5 June 2024).
- Ronfard R. Film Directing for Computer Games and Animation. Computer Graphics Forum. 2021; 40(2): 713–730. doi: 10.1111/cgf.142663
- Cohen JL. Film/Video-Based TherapyTM and Virtual Reality. In: Film/Video-Based Therapy and Trauma. Routledge; 2022. pp. 3–13. doi: 10.4324/9781315622507
- Kuusela V. 3D modeling pipeline for games. Turku University of Applied Sciences; 2022.
- Hevko I, Potapchuk O, Lutsyk I, et al. The Method of Teaching Graphic 3D Reconstruction of Architectural Objects for Future IT Specialists. In: Proceedings of the 1st Symposium on Advances in Educational Technology; 2020. doi: 10.5220/0010921800003364
- Open AI. Dall·E 2. DALL·E 2. Available online: https://openai.com/dall-e-2/ (accessed on 5 June 2024).
- Blance A. Using AI to generate 3D models, fast! Medium. Available online: https://towardsdatascience.com/using-ai-to-generate-3d-models-2634398c0799 (accessed on 5 June 2024).
- Ha H, Song S. Semantic abstraction: Open-world 3d scene understanding from 2d vision-language models. In: Proceedings of the 6th Annual Conference on Robot Learning; 2022.
- McKenzie T. Kaedim: A cool AI for turning 2D images into 3D models. Available online: https://80.lv/articles/kaedim-a-cool-ai-for-turning-2d-images-into-3d-models/ (accessed on 5 June 2024).
- Salian I. Nerf research turns 2D photos into 3D scenes. NVIDIA Blog. Available online: https://blogs.nvidia.com/blog/2022/03/25/instant-nerf-research-3d-ai/ (accessed on 5 June 2024).
- Fiske T. What does it take to AI-generate VR games? Immersive Wire. Available online: https://www.immersivewire.com/p/take-aigenerate-vr-games (accessed on 5 June 2024).
Refbacks
- There are currently no refbacks.
Copyright (c) 2024 Andrew Begemann, James Hutson
License URL: https://creativecommons.org/licenses/by/4.0/
This site is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Academic Supporter
Editor-in-Chief
Prof. Zhigeng Pan
Director, Institute for Metaverse, Nanjing University of Information Science & Technology, China
Honorary Editor-in-Chief
Prof. Jianrong Tan
Academician, Chinese Academy of Engineering, China
Indexing & Archiving
.jpg)
.jpg)
News & Announcements
2025-05-20
Conference Time
December 15-18, 2025
Conference Venue
Hong Kong Convention and Exhibition Center (HKCEC)
...
2025-04-23
Metaverse Scientist Forum No.3 was successfully held on April 22, 2025, from 19:00 to 20:30 (Beijing Time)...
2025-04-21
We received the Scopus notification on April 19th, confirming that the journal has been successfully indexed by Scopus...
2025-04-15
We are pleased to announce that we have updated the requirements for manuscript figures in the submission guidelines. Manuscripts submitted after April 15, 2025 are required to strictly adhere to the change. These updates are aimed at ensuring the highest quality of visual content in our publications and enhancing the overall readability and impact of your research. For more details, please find it in sumissions...
