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Nerf: Neural radiance field in 3d vision, a comprehensive review
Gaussian splatting slam
We present the first application of 3D Gaussian Splatting in monocular SLAM the most
fundamental but the hardest setup for Visual SLAM. Our method which runs live at 3fps …
fundamental but the hardest setup for Visual SLAM. Our method which runs live at 3fps …
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 …
Gs-slam: Dense visual slam with 3d gaussian splatting
In this paper we introduce GS-SLAM that first utilizes 3D Gaussian representation in the
Simultaneous Localization and Map** (SLAM) system. It facilitates a better balance …
Simultaneous Localization and Map** (SLAM) system. It facilitates a better balance …
Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives
Abstract We present Ego-Exo4D a diverse large-scale multimodal multiview video dataset
and benchmark challenge. Ego-Exo4D centers around simultaneously-captured egocentric …
and benchmark challenge. Ego-Exo4D centers around simultaneously-captured egocentric …
Co-slam: Joint coordinate and sparse parametric encodings for neural real-time slam
We present Co-SLAM, a neural RGB-D SLAM system based on a hybrid representation, that
performs robust camera tracking and high-fidelity surface reconstruction in real time. Co …
performs robust camera tracking and high-fidelity surface reconstruction in real time. Co …
A survey on 3d gaussian splatting
G Chen, W Wang - ar**: Segment and edit anything in 3d scenes
M Ye, M Danelljan, F Yu, L Ke - European Conference on Computer …, 2024 - Springer
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 …