Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis

Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis

Andreas Geiger via YouTube Direct link

Introduction

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1 of 19

Introduction

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Classroom Contents

Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis

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  1. 1 Introduction
  2. 2 Two dominating paradigms
  3. 3 Current Slam systems
  4. 4 Goals
  5. 5 Problem
  6. 6 Current Generative Models
  7. 7 Model Overview
  8. 8 Loss Functions
  9. 9 Results
  10. 10 Baseline
  11. 11 Full Model
  12. 12 Flying Furniture
  13. 13 Video Representation
  14. 14 Failure Cases
  15. 15 Better 3D Representation
  16. 16 Overview
  17. 17 Future Work
  18. 18 Keeley 360
  19. 19 Conclusion

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