Abstract: We propose GSO-SLAM, a real-time monocular dense SLAM system that leverages Gaussian scene representation. Unlike existing methods that couple tracking and mapping with a unified scene, ...
Pytorch implementation of the paper 'Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding' (AAAI2024). Implemented an auto ...
The full probability formula and Bayes' formula are important formulas in probability theory, mainly used to calculate the probability of more complex events, and they are essentially a combination of ...
Abstract: We present stochastic Gaussian splatting (SGS): the first framework for uncertainty estimation using Gaussian splatting (GS). GS recently advanced the novel-view synthesis field by achieving ...
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