3D Deep Learning for Gaming with Srinath Sridhar and Stanford Artificial Intelligence

3D Deep Learning for Gaming with Srinath Sridhar and Stanford Artificial Intelligence

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Introduction

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1 of 30

Introduction

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Classroom Contents

3D Deep Learning for Gaming with Srinath Sridhar and Stanford Artificial Intelligence

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  1. 1 Introduction
  2. 2 Overview
  3. 3 Goals
  4. 4 Challenges
  5. 5 Outline
  6. 6 Understanding Humans
  7. 7 Full Body Posture
  8. 8 Goal
  9. 9 Example
  10. 10 More examples
  11. 11 Gaming applications
  12. 12 YouTube videos
  13. 13 Hands
  14. 14 Objects
  15. 15 Reconstructing Objects
  16. 16 Neural Network Architecture
  17. 17 Mesh parametric mesh reconstruction
  18. 18 Car reconstruction
  19. 19 Microsoft Flight Simulator
  20. 20 The State of Computer Vision
  21. 21 Computer Vision vs Computer Graphics
  22. 22 Hand Pose Estimation
  23. 23 Hand Pose Estimation Example
  24. 24 Virtual Cars
  25. 25 ContextAware Mixed Reality
  26. 26 Synthetic Data
  27. 27 Gaming Pipeline
  28. 28 Conclusion
  29. 29 Summary
  30. 30 Thank you

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