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3D Machine Learning with PyTorch3D

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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

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

PointNet Mesh R-CNN Neural Radiance Fields (NeRF)

Course Assessment

Final Assessment

Conclusion

Appendix

Appendix A: External Links

Quiz Yourself on Rendering

Test your knowledge of textures, materials, and rendering.

Quiz

1

What is a viable distance measure for $d(i,j)$ in the formula for probabilistic pixel influence?

Recall that $d(i,j)$ measures the distance between a pixel and a polygon.

A)

Chamfer distance

B)

Euclidean distance

C)

Barycentric coordinates

D)

Bidirectional reflectance distribution function.

Question 1 of 60 attempted

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