JOURNAL ARTICLE

Deformable Neural Radiance Fields for Object Motion Blur Removal

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.

Keywords:
Motion blur Radiance Computer vision Artificial intelligence Computer science Object (grammar) Motion (physics) Representation (politics) Motion interpolation Computer graphics (images) Image (mathematics) Optics Physics Video tracking

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Topics

Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Computer Graphics and Visualization Techniques
Physical Sciences →  Computer Science →  Computer Graphics and Computer-Aided Design
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