Abstract: This paper proposes HyperGS, the first complete hardware accelerator implementation for 3D Gaussian Splatting with algorithmic optimization. Through an in-depth analysis of the Gaussian ...

Abstract: The recently introduced 3D Gaussian Splatting and subsequent methods have achieved significantly reduced inference times for novel view synthesis. To reduce this rendering time even further, ...

polars-bloomberg is a Python library that extracts Bloomberg's financial data directly into Polars DataFrames. If you’re a quant financial analyst, data scientist, or quant developer working in ...

Evaluation allows us to assess how a given model is performing against a set of specific tasks. This is done by running a set of standardized benchmark tests against the model. Running evaluation ...