Solving 3-D inverse scattering problems (ISPs) through learning-based approaches is a crucial yet challenging task due to the complex 3-D representation and the difficulty in incorporating domain ...

Surface reconstruction for point clouds is an important task in 3D computer vision. Most of the latest methods resolve this problem by learning signed distance functions from point clouds, which are ...

How to use Marimo, a better Jupyter-like notebook system for Python Jupyter Notebooks may be a familiar and powerful tool for data science, but its shortcomings can be irksome.

I would like to contribute a new Jupyter Notebook example demonstrating how to use pgmpy for causal forecasting. This will include: Creating a small dataset Building a simple Bayesian Network or ...

Improve this page Add a description, image, and links to the signed-distance-field topic page so that developers can more easily learn about it.