Physically-based animation of deformable solids using Eulerian approaches in computer graphics
使用计算机图形学中的欧拉方法对可变形固体进行基于物理的动画
基本信息
- 批准号:310833819
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:德国
- 项目类别:Research Grants
- 财政年份:
- 资助国家:德国
- 起止时间:
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
The research goal of this project is the development of efficient and stable methods for the physically-based simulation of deformable solids in computer graphics applications. We investigate Eulerian simulation approaches that are based on a spatially fixed discretization. In the first phase of this project we successfully developed and published different methods in this research area. We were able to develop an efficient solution for the problem of volume conservation in Eulerian simulation methods. Moreover, a suitable implicit higher-order time integration scheme was identified that will be integrated in our simulator. At the same time we investigated hybrid simulation methods and approaches for the synthesis of details using machine learning. Here we leveraged the fact that the fixed grid structures in Eulerian approaches are very well suited for a combination with state-of-the-art learning algorithms. The first use of machine learning techniques within the scope of this project has successfully demonstrated their great potential. At the same time, these techniques are still poorly explored in the area of physically-based animation of deformable solids. In the next phase of this project, we want to address important unsolved problems in this relatively young research area and develop suitable solutions. The development of simulation methods with machine learning approaches is therefore a central topic of this research proposal.First, we plan to develop learning solutions for individual components of the simulator that was created in the first project phase. These components can then be tested and evaluated in the existing simulator. The plan is to develop new approaches for the computation of elastic forces and contact forces with friction, and a time integration method. After a successful test, the individual components should then be combined to form an overall system in which a strong coupling of the forces is particularly considered. In order to obtain a realistic material behavior in the simulation, we plan to reconstruct it from 3D scans using machine learning. In addition, a differentiable solver for deformable bodies is to be developed in this project. We then plan to use it to efficiently solve inverse problems in the area of art direction. The goal here is to give an artist flexible and intuitive control over the simulation.To summarize, in the second phase of our research project we plan to extend the simulation methods that were developed in the first phase with machine learning approaches. We believe that this research direction has a large potential for impact due to the significant advances in machine learning. In this context we can leverage our existing expertise with learning algorithms, and further establish the use of machine learning in the field of computer graphics.
本项目的研究目标是为计算机图形学应用中基于物理的可变形实体模拟开发高效、稳定的方法。我们研究欧拉模拟方法,是基于空间固定的离散化。在该项目的第一阶段,我们成功地开发并发布了该研究领域的不同方法。我们能够在欧拉模拟方法中为体积守恒问题开发一个有效的解决方案。此外,一个合适的隐式高阶时间积分方案被确定,将被集成在我们的模拟器。与此同时,我们研究了混合仿真方法和方法的合成的细节,使用机器学习。在这里,我们利用了欧拉方法中的固定网格结构非常适合与最先进的学习算法相结合的事实。在该项目范围内首次使用机器学习技术已成功证明其巨大潜力。与此同时,这些技术在基于物理的可变形实体动画领域的探索仍然很差。在这个项目的下一阶段,我们希望解决这个相对年轻的研究领域中尚未解决的重要问题,并开发合适的解决方案。因此,开发具有机器学习方法的模拟方法是本研究计划的中心课题。首先,我们计划为第一个项目阶段创建的模拟器的各个组件开发学习解决方案。这些组件可以在现有的模拟器中进行测试和评估。该计划是开发计算弹性力和摩擦接触力的新方法,以及时间积分法。在成功的测试之后,单独的组件应该组合成一个整体系统,其中特别考虑了力的强耦合。为了在模拟中获得真实的材料行为,我们计划使用机器学习从3D扫描中重建它。此外,一个微分求解器的变形体是在这个项目中开发。然后,我们计划使用它来有效地解决艺术方向领域的逆问题。这里的目标是让艺术家灵活直观地控制模拟。总而言之,在我们研究项目的第二阶段,我们计划使用机器学习方法扩展第一阶段开发的模拟方法。我们认为,由于机器学习的重大进展,这一研究方向具有很大的影响潜力。在这种情况下,我们可以利用我们现有的学习算法的专业知识,并进一步建立机器学习在计算机图形学领域的应用。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Professor Dr. Jan Stephen Bender其他文献
Professor Dr. Jan Stephen Bender的其他文献
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{{ truncateString('Professor Dr. Jan Stephen Bender', 18)}}的其他基金
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- 批准号:
411281008 - 财政年份:2018
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-- - 项目类别:
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Robust Methods for the Physically-Based Animation of Large Deformations in Computer Graphics
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281466253 - 财政年份:2016
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Entwicklung echtzeitfähiger geometrischer Verfahren für eine interaktive chirurgische Simulation
交互式手术模拟实时几何方法的开发
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221909711 - 财政年份:2012
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