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arXiv:2411.11921v1 Announce Type: new Abstract: We present DeSiRe-GS, a self-supervised gaussian splatting representation, enabling effective static-dynamic decomposition and high-fidelity surface reconstruction in complex driving scenarios. Our approach employs a two-stage optimization pipeline of dynamic street Gaussians. In the first stage, we extract 2D motion masks based on the observation that 3D Gaussian Splatting inherently can reconstruct only the static regions in dynamic environments. These extracted 2D motion priors are then mapped into the Gaussian space in a differentiable manner, leveraging an efficient formulation of dynamic Gaussians in the second stage. Combined with the introduced geometric regularizations, our method are able…

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(dTosh/Shutterstock) As AI-driven algorithms become increasingly complex, the demand for scalable solutions that integrate powerful analytical engines with machine learning libraries has surged. KX, a performance analytical database for AI, has responded to this need by enhancing PyKX, its Python-first interface for kdb+, with a new hybrid architecture.  PyKX 3.0 merges kdb+’s processing power with Python’s ML capabilities. The company claims that developers can use the platform to build advanced AI-driven applications and analytics without compromising on speed or scalability.  In May 2023, KX had open-sourced PyKX, making its kdb+ time-series database and q programming language accessible to the global…