This paper targets interactive object-level editing (eg, deletion, recoloring, transformation,
composition) in dynamic scenes. Recently, some methods aiming for flexible editing static …

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 …

Neural Radiance Fields (NeRFs) have recently emerged as a popular option for photo-
realistic object capture due to their ability to faithfully capture high-fidelity volumetric content …

Recently, the editing of neural radiance fields (NeRFs) has gained considerable attention,
but most prior works focus on static scenes while research on the appearance editing of …

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 …

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 …

The widespread adoption of implicit neural representations, especially Neural Radiance
Fields (NeRF), highlights a growing need for editing capabilities in implicit 3D models …

Due to the omnipresence of Neural Radiance Fields (NeRFs) the interest towards editable
implicit 3D representations has surged over the last years. However editing implicit or hybrid …

Advances in image diffusion models have recently led to notable improvements in the
generation of high-quality images. In combination with Neural Radiance Fields (NeRFs) they …

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 …