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相关概念视频

Modeling and Similitude01:12

Modeling and Similitude

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Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
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Mesh Analysis01:20

Mesh Analysis

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Mesh analysis is a valuable method for simplifying circuit analysis using mesh currents as key circuit variables. Unlike nodal analysis, which focuses on determining unknown voltages, mesh analysis applies Kirchhoff's voltage law (KVL) to find unknown currents within a circuit. This method is particularly convenient in reducing the number of simultaneous equations that need to be solved.
A fundamental concept in mesh analysis is the definition of meshes and mesh currents. A mesh is a closed...
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Virtual Work for a System of Connected Rigid Bodies01:06

Virtual Work for a System of Connected Rigid Bodies

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Virtual work is a powerful method used to solve problems involving several connected rigid bodies. When the system is in equilibrium, virtual work is zero. This allows the calculation of the resulting forces when a system undergoes a virtual displacement. When attempting to analyze such a system, first, use a free-body diagram, where an independent coordinate represents the configuration of the links, and mark its deflected position resulting from the positive virtual displacement.
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Planar Rigid-Body Motion01:22

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Understanding the movement of a rigid body in planar motion involves recognizing that every particle within this body is traversing a path that maintains a consistent distance from a specific plane. This concept is fundamental in the study of physics and mechanical engineering, and it allows us to comprehend better how objects move in space.
Planar motion is typically divided into three distinct categories. The first is rectilinear translation, demonstrated by a subway train that moves along...
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Three-Compartment Open Model01:06

Three-Compartment Open Model

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The three-compartment open model is a pharmacokinetic model used to describe the distribution and elimination of drugs following extravascular administration. It comprises a central compartment representing the plasma and two peripheral compartments. The highly perfused peripheral compartment represents organs and tissues with a rich blood supply, such as the liver, kidneys, and lungs. The scarcely perfused peripheral compartment represents tissues with lower blood supply, such as adipose...
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Composite Bodies00:55

Composite Bodies

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A composite body is a body made up of multiple parts, connected to form a larger, unified object. Each part has its own weight and center of gravity, which must be considered to determine the center of gravity of the composite body. In cases where the density or specific weight is constant, the center of gravity coincides with the centroid.
Composite bodies have widespread applications in mechanical engineering, from automobiles to aircraft to rockets. For example, an automobile wheel comprises...
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相关实验视频

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Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation
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CGOF++:可控制的3D面部合成与条件生成占用场.

Keqiang Sun, Shangzhe Wu, Ning Zhang

    IEEE transactions on pattern analysis and machine intelligence
    |December 28, 2023
    PubMed
    概括

    这项研究引入了一个新的3D面部合成框架,使用神经辐射场 (NeRF) 进行精确的3D控制. 它生成高保真面部图像,在表情和姿势变化中提高一致性.

    科学领域:

    • 计算机视觉 计算机视觉
    • 计算机图形 计算机图形
    • 人工智能的人工智能

    背景情况:

    • 现有的2D可控面部合成方法在显著的姿势和表情变化下难以保持一致.
    • 图像生成模型的近期进展使高保真面部合成具有一定可控性.

    研究的目的:

    • 提出一种基于神经辐射场 (NeRF) 的新框架,用于可控制的3D面部合成.
    • 通过整合来自3D面部先验的显式3D条件来增强3D可控性.

    主要方法:

    • 在EG3D生成模型基础上开发了一个有条件的生成占用场 (cGOF++).
    • 包含一个3D可变形模型 (3DMM) 网格,以强制执行面部形状的一致性.
    • 集成的3D地标损失和体积扭曲损失,用于精细粒度的3D形状控制.

    主要成果:

    • 拟议的框架可以生成高保真度的3D面部图像.
    • 与最新的基于2D的方法相比,实现了更精确的3D可控性.
    • 在大表情和姿势变化下,在生成的面部图像中表现出更好的一致性.

    结论:

    • 基于NeRF的条件3D面部合成框架提供了卓越的3D可控性.

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  • 该方法有效地解决了面部合成2D生成模型的局限性.
  • 该框架可以精确控制细粒度的3D面部形状.