3D Machine Learning with PyTorch3D

Intermediate

37 Lessons

Certificate of Completion

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

1 Assessment

68 Playgrounds

5 Quizzes

This course includes

1 Assessment

68 Playgrounds

5 Quizzes

Course Overview

With the surge in XR, 3D printing, and the Metaverse, 3D is extremely popular. Likewise, investment in AI is growing exponentially in most industrial sectors. PyTorch3D is the leading machine learning framework that bridges the gap between AI and 3D. It is essential for tools that generate 3D models from single images and 3D rooms from text prompts. After an introduction to PyTorch3D, you’ll learn how 2D images are formed from a 3D world, covering camera parameters, projection models, etc. Next, you’ll ex...Show More

TAKEAWAY SKILLS

Deep Learning

Python

Pytorch Basics

Machine Learning

What You'll Learn

Understanding of fundamental computer graphics concepts

Working knowledge of computer vision and machine learning techniques for graphics

Ability to apply machine learning techniques to 3D data

Familiarity with techniques to transform, render, and manipulate 3D data

Hands-on experience building machine learning applications using PyTorch3D

What You'll Learn

Understanding of fundamental computer graphics concepts

Course Content

Getting Started

Introduction to 3D Machine Learning

The PyTorch3D Framework Review of Machine Learning Quiz Yourself on ML Basics

Cameras and Projection

Image Formation and the Thin Lens Equation Coordinate Spaces Camera Parameters (Intrinsic and Extrinsic)Homogeneous Coordinates Projection Models Transformations Quiz Yourself on Cameras and Projections

Rendering

Rendering Overview Ray Tracing vs. Rasterization Barycentric Coordinates Shading, Materials, and Textures Lighting Texture Estimation Quiz Yourself on Rendering

Data Representations

Voxels Point Clouds Meshes Signed Distance Functions (SDF)Fields Quiz Yourself on Data Representations

Operations and Techniques

Heterogeneous Batching Mesh Deformation Efficient Perspective-n-Point (PnP)Iterative Closest Point (ICP)Graph Convolution Voxel Branches and Volume Rendering Positional Encoding Quiz Yourself on Operations and Techniques

Key Models

3 Lessons

Final Assessment

Assessment

Conclusion

1 Lesson

Appendix

1 Lesson

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

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Emma Bostian 🐞

@EmmaBostian

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

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