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Neural Radiance Fields
3D Editing
Gaussian Splatting
Gaussian Splatting for Editable Neural Radiance Fields

Reconstructing and editing 3D objects and scenes is a critical aspect in graphics and vision, and Tong Wu et al.’s paper on DeferredGS focuses on improving the efficiency and editability of Neural Radiance Fields (NeRFs).

  • Introduces a decoupled Gaussian splatting method for editable representations.
  • Applies deferred shading for relighting, enhancing visual realism.
  • Demonstrates superior performance in both view synthesis and editing tasks compared to previous methods.

The paper not only streamlines the rendering process of NeRF but also significantly enhances the capability of 3D editing, suggesting practical applications in VR and digital content creation.

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