3D scene Editing
4 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in 3D scene Editing
Most implemented papers
OR-NeRF: Object Removing from 3D Scenes Guided by Multiview Segmentation with Neural Radiance Fields
This paper proposes a novel object-removing pipeline, named OR-NeRF, that can remove objects from 3D scenes with user-given points or text prompts on a single view, achieving better performance in less time than previous works.
DreamEditor: Text-Driven 3D Scene Editing with Neural Fields
Neural fields have achieved impressive advancements in view synthesis and scene reconstruction.
Language-driven Scene Synthesis using Multi-conditional Diffusion Model
In this paper, we propose a language-driven scene synthesis task, which is a new task that integrates text prompts, human motion, and existing objects for scene synthesis.
LatentEditor: Text Driven Local Editing of 3D Scenes
Our approach achieves faster editing speeds and superior output quality compared to existing 3D editing models, bridging the gap between textual instructions and high-quality 3D scene editing in latent space.