We examine visual representations of data that make use of combinations of both 2D and 3D data mappings. Combining 2D and 3D representations is a common technique that allows viewers to understand ...

Human actions in videos are three-dimensional (3D) signals. Recent attempts use 3D convolutional neural networks (CNNs) to explore spatio-temporal information for human action recognition. Though ...

A pytorch implementation of “X-Dreamer: Creating High-quality 3D Content by Bridging the Domain Gap Between Text-to-2D and Text-to-3D Generation” - xmu-xiaoma666/X-Dreamer ...

This library implements a set of classes that make it easy to draw 2D and 3D graphics onto a memory framebuffer. It is designed and optimized for 32-bit MCUs, yet it is cross-platform and also works ...