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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 …
Benchmarking neural radiance fields for autonomous robots: An overview
Abstract Neural Radiance Field (NeRF) has emerged as a powerful paradigm for scene
representation, offering high-fidelity renderings and reconstructions from a set of sparse and …
representation, offering high-fidelity renderings and reconstructions from a set of sparse and …
Garfield: Group anything with radiance fields
Grou** is inherently ambiguous due to the multiple levels of granularity in which one can
decompose a scene---should the wheels of an excavator be considered separate or part of …
decompose a scene---should the wheels of an excavator be considered separate or part of …
Semantically-aware neural radiance fields for visual scene understanding: A comprehensive review
This review thoroughly examines the role of semantically-aware Neural Radiance Fields
(NeRFs) in visual scene understanding, covering an analysis of over 250 scholarly papers. It …
(NeRFs) in visual scene understanding, covering an analysis of over 250 scholarly papers. It …
EgoLifter: Open-World 3D Segmentation for Egocentric Perception
In this paper we present EgoLifter, a novel system that can automatically segment scenes
captured from egocentric sensors into a complete decomposition of individual 3D objects …
captured from egocentric sensors into a complete decomposition of individual 3D objects …
N2f2: Hierarchical scene understanding with nested neural feature fields
Understanding complex scenes at multiple levels of abstraction remains a formidable
challenge in computer vision. To address this, we introduce Nested Neural Feature Fields …
challenge in computer vision. To address this, we introduce Nested Neural Feature Fields …
Omniseg3d: Omniversal 3d segmentation via hierarchical contrastive learning
Towards holistic understanding of 3D scenes a general 3D segmentation method is needed
that can segment diverse objects without restrictions on object quantity or categories while …
that can segment diverse objects without restrictions on object quantity or categories while …
Sam-guided graph cut for 3d instance segmentation
This paper addresses the challenge of 3D instance segmentation by simultaneously
leveraging 3D geometric and multi-view image information. Many previous works have …
leveraging 3D geometric and multi-view image information. Many previous works have …
Panoptic vision-language feature fields
Recently, methods have been proposed for 3D open-vocabulary semantic segmentation.
Such methods are able to segment scenes into arbitrary classes based on text descriptions …
Such methods are able to segment scenes into arbitrary classes based on text descriptions …
ClusteringSDF: Self-organized neural implicit surfaces for 3D decomposition
Abstract 3D decomposition/segmentation remains a challenge as large-scale 3D annotated
data is not readily available. Existing approaches typically leverage 2D machine-generated …
data is not readily available. Existing approaches typically leverage 2D machine-generated …