3D Machine Learning

In recent years, tremendous amount of progress is being made in the field of 3D Machine Learning, which is an interdisciplinary field that fuses computer vision, computer graphics and machine learning. This repo is derived from my study notes and will be used as a place for triaging new research papers.

I'll use the following icons to differentiate 3D representations:

• 📷 Multi-view Images
• 👾 Volumetric
• 🎲 Point Cloud
• 💎 Polygonal Mesh
• 💊 Primitive-based

Get Involved

To contribute to this Repo, you may add content through pull requests or open an issue to let me know.

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We have also created a Slack workplace for people around the globe to ask questions, share knowledge and facilitate collaborations. Together, I'm sure we can advance this field as a collaborative effort. Join the community with this link.
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Table of Contents

• Courses
• Datasets
  • 3D Models
  • 3D Scenes
• 3D Pose Estimation
• Single Object Classification
• Multiple Objects Detection
• Scene/Object Semantic Segmentation
• 3D Geometry Synthesis/Reconstruction
  • Parametric Morphable Model-based methods
  • Part-based Template Learning methods
  • Deep Learning Methods
• Texture/Material Synthesis
• Style Transfer
• Scene Synthesis/Reconstruction
• Scene Understanding

Available Courses

UCSD CSE291-I00: Machine Learning for 3D Data (Winter 2018)

Stanford CS468: Machine Learning for 3D Data (Spring 2017)

MIT 6.838: Shape Analysis (Spring 2017)

Princeton COS 526: Advanced Computer Graphics (Fall 2010)

Princeton CS597: Geometric Modeling and Analysis (Fall 2003)

Geometric Deep Learning

Paper Collection for 3D Understanding