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Build Stunning Real-time VFX with Unreal Engine 5

You're reading from  Build Stunning Real-time VFX with Unreal Engine 5

Product type Book
Published in May 2023
Publisher Packt
ISBN-13 9781801072410
Pages 312 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Hrishikesh Andurlekar Hrishikesh Andurlekar
Profile icon Hrishikesh Andurlekar

Table of Contents (16) Chapters

Preface 1. Part 1: Introduction to Niagara and Particle Systems in Unreal Engine 5
2. Chapter 1: Getting Started with Unreal Engine Particle System Frameworks 3. Chapter 2: Understanding Particle System Concepts 4. Chapter 3: Exploring Niagara Concepts and Architecture 5. Chapter 4: Building Our First Niagara System 6. Chapter 5: Diving into Emitter-System Overrides 7. Part 2: Dive Deeper into Niagara for VFX
8. Chapter 6: Exploring Dynamic Inputs 9. Chapter 7: Creating Custom Niagara Modules 10. Chapter 8: Local Modules and Versioning 11. Chapter 9: Events and Event Handlers 12. Chapter 10: Debugging Workflow in Niagara 13. Chapter 11: Controlling Niagara Particles Using Blueprints 14. Index 15. Other Books You May Enjoy

Summary

In this chapter, we briefly introduced the legacy Cascade particle system. This is important because, while the Cascade particle system is a legacy system, being familiar with Cascade will help you work on any old projects which use Cascade; not only that but Cascade particles are also in extensive use in many ongoing projects in many companies. There are also a lot of Cascade-based particle systems in the Unreal Engine Marketplace that you may need to incorporate in your project (be they current or future projects), so it is worth developing this ability now. After that, we explored the design paradigms in the new Niagara System and discussed the reasons behind the development of Niagara (despite Cascade still being functional). Finally, we looked at the new features expected to arrive in upcoming Niagara versions. In the next chapter, let us delve into some basic particle concepts to lay the foundations for our further learning.

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