# PixelSpace: Intro to 3D Generative AI

> Recent image and video generation advancements have revolutionized content creation, offering unprecedented possibilities. While we rapidly approach seamless interaction with scenes and videos through text inputs, 3D scene generation remains a fertile ground for exploration. Ove…

## At a glance

- Format: On-demand course
- Price: €105.00 (list €125.00)
- Difficulty: Beginner
- Duration: 8 Hours
- Schedule: Aug 31 & Sep 1, 2024
- Instructors: Daniel Escobar
- Categories: Artificial Intelligence, Design Workshops
- Software: Chaos Corona, Unreal Engine, Luma AI
- Students: 53
- Rating: 5.0 / 5
- Canonical: https://paacademy.com/course/pixelspace-intro-to-3d-generative-ai
- Enroll: https://paacademy.com/course/pixelspace-intro-to-3d-generative-ai

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## About this course

PixelSpace: Intro to 3D Generative AI focuses on automating 3D scene creation using AI models and Unreal Engine.

## What you'll learn

- **Exploring 3D Generative AI**: Understand and utilize advanced AI algorithms for scene generation.

- **Scene Creation**: Learn to automate the process of 3D scene creation using text and image inputs.

- **Interactive Design**: Develop skills in creating interactive and immersive experiences in Unreal Engine.

- **Creative Exploration**: Foster innovation and creativity in architectural design through AI tools.

## Methodology

**Inspirational Inputs:

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- **Text and Images**: Use descriptive text and images to generate 3D scenes. These inputs will serve as the foundation for your scene&rsquo;s development.

- **Scene Development**: Experiment with different inputs to see how they influence the generated scenes.




**Scene Generation:

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- **Multiview Diffusion Models**: Apply these models to generate consistent scenes across multiple views.

- **Representation Techniques**: Use various methods to represent geometry and scene details effectively.




**Interactive Experience Creation:

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- **Unreal Engine Integration**: Learn to import and refine your AI-generated scenes in Unreal Engine.

- **Enhancing Immersion**: Develop interactive elements to create a fully immersive experience.




**Project Showcase:

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- **Concept Reel**: Compile your generated scenes into a cohesive concept reel.

- **Presentation and Feedback**: Present your work and receive feedback from peers and instructors.





By the end of this workshop, participants will have a solid understanding of how to leverage 3D generative AI to automate scene generation and create immersive architectural experiences, opening new avenues for creative expression and design exploration.

## Curriculum

### Session 1
- Introduction to the course (05:10)
- Lecture (01:17:28)
- Luma AI (24:44)
- AI Reconstruction with Blender (36:46)
- 3D Model Generation Process (48:55)
- Text to 3D scenes (25:43)

### Session 2
- 3D Scene Creation Overview (43:40)
- Unreal Engine Particle System Setup (37:12)
- Unreal Engine System Setup (32:59)
- Mesh Particles Setup (34:30)
- 3D Scene Generation Overview (37:19)
