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使用反射场进行神经投影映射绘制.

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    科学领域:

    • 计算机视觉 计算机视觉
    • 计算机图形 计算机图形
    • 机器学习 机器学习

    背景情况:

    • 传统的投影映射需要复杂,耗时的校准.
    • 通过动态照明实现摄影现实化染具有挑战性.

    研究的目的:

    • 将可微分的虚拟投影仪引入神经反射场.
    • 为了实现摄影现实性的光线编辑,并简化投影映射.
    • 为了提高场景的理解和重建.

    主要方法:

    • 将一个高分辨率,空间适应的光源 (投影仪) 集成到神经反射场中.
    • 使用三个神经网络进行几何,材料和传导率估计.
    • 采用分析的双向反射分布函数 (BRDF) 模型和特定的投影模式,以实现直观的获取.

    主要成果:

    • 投射的纹理是完全可差异化的,允许对所需的外观进行优化.
    • 虚拟投影仪简化了校准,并改善了场景的理解.
    • 实现了最新的投影仪补偿,以获得新的视角和增强材料/场景重建.
    • 通过使用2D生成模型,证明了成功的投影图像优化.

    结论:

    • 神经投影映射为增强现实和投影映射提供了一种简单而强大的方法.
    • 场景和投影图像的联合优化解锁了新的下游应用程序.
    • 拟议的方法减轻了对每个视图进行校准的需求,使应用程序更容易获得.