PART 3: State-of-the-art 3D Deep Learning Using PyTorch3D

This part of the book will be all about using PyTorch3D to implement state-of-the-art 3D deep learning models and algorithms. 3D computer vision technologies are making rapid progress in recent times and we will learn how to implement and use these state-of-the-art 3D deep learning models in the best way possible.

This part includes the following chapter:

• Chapter 7, Exploring Controllable Neural Feature Fields
• Chapter 8, Modeling the Human Body in 3D
• Chapter 9, Performing End-to-End View Synthesis with SynSin
• Chapter 10, Mesh R-CNN