NERFIE: Neural Radiance Fields (NeRFs) for Immersive Experiences.
NERFIE: Neural Radiance Fields (NeRFs) for Immersive Experiences.
批准号:
10070491
负责人:
金额:
$6.37万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2023
资助国家:
英国
项目状态:
已结题
起止时间:
2023 至 --
中文摘要
NERFIE项目旨在创建高质量、逼真的360度场景和环境,可用于虚拟和增强现实(VR/AR)体验。主要合作伙伴Teo Limited是一家总部位于布里斯托尔的中小企业,将使用一种名为神经辐射场(NERFS)的新技术来生成令人难以置信的逼真和详细的图像。该项目将生产一个名为NERFIE的原型产品,该产品将基于系统设计,定义完整的端到端工作流解决方案所需的硬件和软件元素。该项目将从回顾这一快速发展的研究领域的最新发展并评估现有解决方案开始。随后将对潜在的最终用户和客户进行市场研究,以了解他们特定的工作流程要求和所需的产品功能。然后将产生一个简单而高效的工作流程,并将实施概念验证演示。最终报告将总结该项目的发现,并包括NERFIE产品的详细规格和路线图。该项目旨在使创建者和开发人员更容易、更快地为AR/VR体验创建逼真的3D世界,并在数字双胞胎、测量、培训、房地产和医疗保健等领域开辟娱乐、游戏和体育以外的新商机。
英文摘要
The NERFIE project is about creating high-quality, realistic 360-degree scenes and environments that can be used in virtual and augmented reality (VR/AR) experiences.The lead partner, TEO Limited, a Bristol-based SME, will use a new technology called Neural Radiance Fields (NeRFs) to generate incredibly realistic and detailed images.The project will produce a prototype product called NERFIE, which will be based on system designs that define the hardware and software elements required for a complete end-to-end workflow solution.The project will start by reviewing the state-of-art developments in this rapidly evolving research area and evaluating existing solutions. This will be followed by market research with potential end-users and customers to understand their specific workflow process requirements and desirable product features. A simple yet efficient workflow will then be produced and a proof-of-concept demonstration will be implemented. A final report will summarize the project's findings and include a detailed specification and roadmap for the NERFIE product.The project aims to make it easier and faster for creators and developers to create realistic 3D worlds for AR/VR experiences and open new business opportunities beyond entertainment, gaming, and sports in areas such as digital twins, surveying, training, real estate, and healthcare.
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国内基金
海外基金
Neural Process模型的多样化高保真技术研究
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批准号:62306326
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项目类别:青年科学基金项目
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资助金额:30万元
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批准年份:2023
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负责人:王琦
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依托单位: