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 …

Abstract We present Text2Room, a method for generating room-scale textured 3D meshes
from a given text prompt as input. To this end, we leverage pre-trained 2D text-to-image …

Abstract 3D editing plays a crucial role in many areas such as gaming and virtual reality.
Traditional 3D editing methods which rely on representations like meshes and point clouds …

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 …

Neural implicit fields are powerful for representing 3D scenes and generating high-quality
novel views, but it remains challenging to use such implicit representations for creating a 3D …

Large scale text-guided diffusion models have garnered significant attention due to their
ability to synthesize diverse images that convey complex visual concepts. This generative …

Neural fields have achieved impressive advancements in view synthesis and scene
reconstruction. However, editing these neural fields remains challenging due to the implicit …

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 …

Generative priors of large-scale text-to-image diffusion models enable a wide range of new
generation and editing applications on diverse visual modalities. However, when adapting …

Text-driven 3D stylization is a complex and crucial task in the fields of computer vision (CV)
and computer graphics (CG), aimed at transforming a bare mesh to fit a target text. Prior …