Abstract: Despite recent advances, developing general-purpose universal denoising and artifact-removal networks remains largely an open problem: Given fixed network weights, one inherently trades-off ...

Abstract: Deep learning has proven to be important for CT image denoising. However, such models are usually trained under supervision, requiring paired data that may be difficult to obtain in practice ...

A fast Python library implemented in Rust for generating 2D Poisson Disk point sets using the Hierarchical Dart Throwing (HDT) algorithm. Poisson Disk sampling produces points that are tightly packed ...

Abstract: With the subsequent increasing of backbone bandwidth, the full trace capture will be seriously hindered. The research in the paper results from a study analyzing packet traces obtained from ...