Abstract The recent Gaussian Splatting achieves high-quality and real-time novel-view
synthesis of the 3D scenes. However, it is solely concentrated on the appearance and …

Despite the great success in 2D editing using user-friendly tools, such as Photoshop,
semantic strokes, or even text prompts, similar capabilities in 3D areas are still limited, either …

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 …

Text-to-image diffusion models are gradually introduced into computer graphics, recently
enabling the development of Text-to-3D pipelines in an open domain. However, for …

Neural Radiance Fields (NeRFs) have revolutionized novel view synthesis for captured
scenes, with recent methods allowing interactive free-viewpoint navigation and fast training …

This review thoroughly examines the role of semantically-aware Neural Radiance Fields
(NeRFs) in visual scene understanding, covering an analysis of over 250 scholarly papers. It …

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 …

Existing neural rendering methods for creating human avatars typically either require dense
input signals such as video or multi-view images, or leverage a learned prior from large …

The success of denoising diffusion models in generating and editing images has sparked
interest in using diffusion models for editing 3D scenes represented via neural radiance …

Recent advances have shown promise in merging neural radiance fields (NeRFs) with pre-
trained diffusion models for text-to-3D object generation. However, one enduring challenge …