Adaptive Lipschitz Constant Learning for PPG Signal Denoising: A Data-Driven Regularization Approach
Abstract: Photoplethysmography (PPG) signals are essential for non-invasive cardiovascular monitoring, yet dynamic noise, including motion artifacts, significantly degrades downstream deep learning ...
Rendering tree-based analytical Signed Distance Fields (SDFs) through sphere tracing often requires to evaluate many primitives per tracing step, for many steps per pixel of the end image. This cost ...
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