3d Deep Learning With Python Xudong Ma Vishakh Hegde Lilit Yolyan by Xudong Ma, Vishakh Hegde, Lilit Yolyan 9781803247823, 1803247827 instant download after payment.

With this hands-on guide to 3D deep learning, developers working with 3D
computer vision will be able to put their knowledge to work and get up
and running in no time.

Complete with step-by-step explanations of essential concepts and
practical examples, this book lets you explore and gain a thorough
understanding of state-of-the-art 3D deep learning. You’ll see how to
use PyTorch3D for basic 3D mesh and point cloud data processing,
including loading and saving ply and obj files, projecting 3D points
into camera coordination using perspective camera models or orthographic
camera models, rendering point clouds and meshes to images, and much
more. As you implement some of the latest 3D deep learning algorithms,
such as differential rendering, Nerf, synsin, and mesh RCNN, you’ll
realize how coding for these deep learning models becomes easier using
the PyTorch3D library.

By the end of this deep learning book, you’ll be ready to implement your own 3D deep learning models confidently.