RePaint-NeRF: NeRF Editting via Semantic Masks and Diffusion Models

Understand

The emergence of Neural Radiance Fields (NeRF) has promoted the development of synthesized high-fidelity views of the intricate real world.

• However, it is still a very demanding task to repaint the content in NeRF.
• In this paper, we propose a novel framework that can take RGB images as input and alter the 3D content in neural scenes.
• Our work leverages existing diffusion models to guide changes in the designated 3D content.