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DF-SLAM: Neural Feature Rendering Based on Dictionary Factors Representation for High-Fidelity Dense Visual SLAM System
Compared to neural implicit SLAM methods that directly encode scene information as features, our method exhibits superior scene detail reconstruction capabilities and more efficient memory usage, while our model size is insensitive to the size of the scene map, making our method more suitable for large-scale scenes.
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