Deformable Neural Radiance Fields for Object Motion Blur Removal

Kazuhito Sato, Shugo Yamaguchi, Tsukasa Takeda, S. Morishima
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Abstract

In this paper, we present a novel approach to remove object motion blur in 3D scene renderings using deformable neural radiance fields. Our technique adapts the hyperspace representation to accommodate shape changes induced by object motion blur. Experiments on Blender-generated datasets demonstrate the effectiveness of our method in producing higher-quality images with reduced object motion blur artifacts.
用于物体运动模糊去除的可变形神经辐射场
在本文中,我们提出了一种利用可变形神经辐射场去除3D场景渲染中物体运动模糊的新方法。我们的技术采用超空间表示来适应物体运动模糊引起的形状变化。在blender生成的数据集上的实验证明了我们的方法在减少物体运动模糊伪影的情况下产生高质量图像的有效性。
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