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Found 3 papers, 1 papers with code
FisherRF: Active View Selection and Uncertainty Quantification for Radiance Fields using Fisher Information
This study addresses the challenging problem of active view selection and uncertainty quantification within the domain of Radiance Fields.
SuperGF: Unifying Local and Global Features for Visual Localization
In this study, we present a novel method called SuperGF, which effectively unifies local and global features for visual localization, leading to a higher trade-off between localization accuracy and computational efficiency.
GRM: Gradient Rectification Module for Visual Place Retrieval
Visual place retrieval aims to search images in the database that depict similar places as the query image.
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