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Instruct-nerf2nerf: Editing 3d scenes with instructions
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 …
scene and the collection of images used to reconstruct it, our method uses an image …
Lerf: Language embedded radiance fields
Humans describe the physical world using natural language to refer to specific 3D locations
based on a vast range of properties: visual appearance, semantics, abstract associations, or …
based on a vast range of properties: visual appearance, semantics, abstract associations, or …
Foundation models in robotics: Applications, challenges, and the future
We survey applications of pretrained foundation models in robotics. Traditional deep
learning models in robotics are trained on small datasets tailored for specific tasks, which …
learning models in robotics are trained on small datasets tailored for specific tasks, which …
Langsplat: 3d language gaussian splatting
Humans live in a 3D world and commonly use natural language to interact with a 3D scene.
Modeling a 3D language field to support open-ended language queries in 3D has gained …
Modeling a 3D language field to support open-ended language queries in 3D has gained …
Gaussian grou**: Segment and edit anything in 3d scenes
Abstract The recent Gaussian Splatting achieves high-quality and real-time novel-view
synthesis of the 3D scenes. However, it is solely concentrated on the appearance and …
synthesis of the 3D scenes. However, it is solely concentrated on the appearance and …
Segment anything in 3d with nerfs
Abstract Recently, the Segment Anything Model (SAM) emerged as a powerful vision
foundation model which is capable to segment anything in 2D images. This paper aims to …
foundation model which is capable to segment anything in 2D images. This paper aims to …
Feature 3dgs: Supercharging 3d gaussian splatting to enable distilled feature fields
Abstract 3D scene representations have gained immense popularity in recent years.
Methods that use Neural Radiance fields are versatile for traditional tasks such as novel …
Methods that use Neural Radiance fields are versatile for traditional tasks such as novel …
Gaussianeditor: Editing 3d gaussians delicately with text instructions
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 …
based on a 2D diffusion model. However current diffusion models primarily generate images …
Conceptgraphs: Open-vocabulary 3d scene graphs for perception and planning
For robots to perform a wide variety of tasks, they require a 3D representation of the world
that is semantically rich, yet compact and efficient for task-driven perception and planning …
that is semantically rich, yet compact and efficient for task-driven perception and planning …
Decomposing nerf for editing via feature field distillation
Emerging neural radiance fields (NeRF) are a promising scene representation for computer
graphics, enabling high-quality 3D reconstruction and novel view synthesis from image …
graphics, enabling high-quality 3D reconstruction and novel view synthesis from image …