We propose a method for editing NeRF scenes with text-instructions. Given a NeRF of a
scene and the collection of images used to reconstruct it, our method uses an image …

We present a method for transferring the artistic features of an arbitrary style image to a 3D
scene. Previous methods that perform 3D stylization on point clouds or meshes are sensitive …

Recently impressive results have been achieved in 3D scene editing with text instructions
based on a 2D diffusion model. However current diffusion models primarily generate images …

Abstract 3D scene stylization aims at generating stylized images of the scene from arbitrary
novel views following a given set of style examples, while ensuring consistency when …

As a powerful representation of 3D scenes, the neural radiance field (NeRF) enables high-
quality novel view synthesis from multi-view images. Stylizing NeRF, however, remains …

Abstract 3D style transfer aims to render stylized novel views of a 3D scene with multi-view
consistency. However, most existing work suffers from a three-way dilemma over accurate …

Representing visual signals by implicit neural representation (INR) has prevailed among
many vision tasks. Its potential for editing/processing given signals remains less explored …

We apply style transfer on mesh reconstructions of indoor scenes. This enables VR
applications like experiencing 3D environments painted in the style of a favorite artist. Style …

Abstract We introduce ViCA-NeRF, a view-consistency-aware method for 3D editing with text
instructions. In addition to the implicit NeRF modeling, our key insight is to exploit two …

Visual content creation has spurred a soaring interest given its applications in mobile
photography and AR/VR. Style transfer and single-image 3D photography as two …