AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The authors' neural representation is the most compact model evaluated and, compared to third-degree SH, reduces the per-primitive appearance footprint from 192 to 28 bytes, accelerates optimization by 1.3$\times, while improving reconstruction quality.
This work introduces a method for fast matching in out-of-order sequences, by repurposing visual place recognition models and a covisibility graph, and shows how these steps – together with GPU optimization and careful Gaussian primitive placement – provide fast local reconstruction, in the challenging radiance field r...
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