Abstract: Selecting an appropriate step size is critical in Gradient Descent algorithms used to train Neural Networks for Deep Learning tasks. A small value of the step size leads to slow convergence, ...
Abstract: We present a novel neural scene reconstruction method for RGB-D sequences that employs a multi-level feature grid to enhance the quality and improve the efficiency of surface reconstruction.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results