Question: What is the qualitative comparison with vMAP in the paper "NIS-SLAM: Neural Implicit Semantic RGB-D SLAM for 3D Consistent Scene Understanding" published by Zhejiang University?
Date: 2024-07-30

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NIS-SLAM: Neural Implicit Semantic RGB-D SLAM for 3D Consistent Scene ...
In recent years, the paradigm of neural implicit representations has gained substantial attention in the field of Simultaneous Localization and Mapping (SLAM). However, a notable gap exists in the existing approaches when it comes to scene understanding. In this paper, we introduce NIS-SLAM, an efficient neural implicit semantic RGB-D SLAM system, that leverages a pre-trained 2D segmentation ...

NIS-SLAM: Neural Implicit Semantic RGB-D SLAM for 3D Consistent Scene ...
Implicit representation, Neural dense SLAM, Semantic segmentation, Scene understanding. \teaser. We present NIS-SLAM, a neural implicit semantic RGB-D SLAM system that incrementally reconstructs the environment with 3D consistent scene understanding. As shown in the figure, taking continuous RGB-D frames and 2D noise segmentation results as ...

Neural Implicit Semantic RGB-D SLAM for 3D Consistent Scene Understanding
NIS-SLAM, a neural implicit semantic RGB-D SLAM system that incrementally reconstructs the environment with 3D consistent scene understanding.As shown in the figure, taking continuous RGB-D frames and 2D noise segmentation results as input, our system can reconstruct high-fidelity surface and geometry, learn 3D consistent semantic field and recover the objects in the scene.

NIS-SLAM: Neural Implicit Semantic RGB-D SLAM for 3D Consistent Scene ...
However, a notable gap exists in the existing approaches when it comes to scene understanding. In this paper, we introduce NIS-SLAM, an efficient neural implicit semantic RGB-D SLAM system, that leverages a pre-trained 2D segmentation network to learn consistent semantic representations.

NIS-SLAM: Neural Implicit Semantic RGB-D SLAM for 3D Consistent Scene ...
NIS-SLAM is introduced, an efficient neural implicit semantic RGB-D SLAM system that leverages a pre-trained 2D segmentation network to learn consistent semantic representations and proposes a fusion strategy that integrates the semantic probabilities from previous non-keyframes into keyframes to achieve consistent semantic learning. In recent years, the paradigm of neural implicit ...

[PDF] Neural Implicit Dense Semantic SLAM | Semantic Scholar
NIS-SLAM is introduced, an efficient neural implicit semantic RGB-D SLAM system that leverages a pre-trained 2D segmentation network to learn consistent semantic representations and proposes a fusion strategy that integrates the semantic probabilities from previous non-keyframes into keyframes to achieve consistent semantic learning.

NICE-SLAM: Neural Implicit Scalable Encoding for SLAM - Semantic Scholar
NIS-SLAM is introduced, an efficient neural implicit semantic RGB-D SLAM system that leverages a pre-trained 2D segmentation network to learn consistent semantic representations and proposes a fusion strategy that integrates the semantic probabilities from previous non-keyframes into keyframes to achieve consistent semantic learning. Expand

NID-SLAM: Neural Implicit Representation-based RGB-D SLAM in dynamic ...
NIS-SLAM: Neural Implicit Semantic RGB-D SLAM for 3D Consistent Scene Understanding Hongjia Zhai, Gan Huang, Qirui Hu, Guanglin Li, Hujun Bao, Guofeng Zhang In recent years, the paradigm of neural implicit representations has gained substantial attention in the field of Simultaneous Localization and Mapping (SLAM).

Answer: Object Reconstruction