Abstract: This paper proposes 3DGeoDet, a novel geometry-aware 3D object detection approach that effectively handles single- and multi-view RGB images in indoor and outdoor environments, showcasing ...

This process mainly involves four parts: data import and annotation, 3D structure extraction, point cloud data conversion, and high-throughput geometric parameter extraction (Figure 2).

Geometry representations play a crucial role in solving complex 3D vision problems. The rapid evolution of deep learning has sparked significant interest in developing neural network-compatible ...

Explore Text-to-3D AI: cutting-edge tech transforming 3D content creation. Learn how AI turns text into complex 3D models, revolutionizing industries from gaming to architecture.

The Python node allows users to process geometry attributes and primitives using Python from within the geometry node system. Because it is executed in the context of the active Blender program, ...

Deep learning techniques are used for data with an underlying non-Euclidean structure, such as graphs or manifolds, and are known as deep geometric learning. These techniques have previously been used ...

A simple python 3d geometry renderer. Contribute to jakecerwin/simple_3d_renderer development by creating an account on GitHub.