Abstract: Low-Rank Approximation (LRA) is a commonly used method for compressing deep learning (DL) models by factorizing weight matrices into lower-dimensional components. Although LRA is most ...
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3D printing the epic Kang Jin Loong dragon by Anycubic P1 #shorts #anycubic #AnycubicP1
3D printing the ultimate Kang-Jin Loong dragon for my Black Myth: Wukong diorama using the amazing Anycubic P1! From ZBrush modeling to pouring high-clear resin, the details on this print are ...
Abstract: Content-conscious mistake concealment is an emerging era that is being used to enhance the compression of 3-D geometry information for interactive digital reality (VR) programs. The purpose ...
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