Abstract: Compressive sensing (CS) is a sampling theory that aims to reconstruct signals from fewer measurements than is done in the classical Nyquist-Shannon sampling scheme. Aside from image coding, ...
Abstract: Unsigned distance functions (UDFs) have been a vital representation for open surfaces. With different differentiable renderers, current methods are able to train neural networks to infer a ...
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