Abstract The popularity of Neural Radiance Fields (NeRFs) for view synthesis has led to a
desire for NeRF editing tools. Here, we focus on inpainting regions in a view-consistent and …

Abstract Neural Radiance Fields (NeRFs) are emerging as a ubiquitous scene
representation that allows for novel view synthesis. Increasingly, NeRFs will be shareable …

Though Neural Radiance Field (NeRF) demonstrates compelling novel view synthesis
results, it is still unintuitive to edit a pre-trained NeRF because the neural network's …

Abstract Neural Radiance Fields (NeRFs) have emerged as a popular approach for novel
view synthesis. While NeRFs are quickly being adapted for a wider set of applications …

Neural radiance fields (NeRF) achieve highly photo-realistic novel-view synthesis, but it's a
challenging problem to edit the scenes modeled by NeRF-based methods, especially for …

Recent advances in neural radiance fields have enabled the high-fidelity 3D reconstruction
of complex scenes for novel view synthesis. However, it remains underexplored how the …

Neural Radiance Fields (NeRF) have shown promising results in novel view synthesis.
While achieving state-of-the-art rendering results, NeRF usually encodes all properties …

Implicit neural rendering, especially Neural Radiance Field (NeRF), has shown great
potential in novel view synthesis of a scene. However, current NeRF-based methods cannot …

Abstract Neural Radiance Fields (NeRFs) have gained considerable attention for their high-
quality results in 3D scene reconstruction and rendering. Recently, there have been active …

With the popularity of implicit neural representations, or neural radiance fields (NeRF), there
is a pressing need for editing methods to interact with the implicit 3D models for tasks like …