Interpreting Deep Generative Models for Interactive AI Content Creation

Interpreting Deep Generative Models for Interactive AI Content Creation

Bolei Zhou via YouTube Direct link

Linear Manipulation Model

9 of 26

9 of 26

Linear Manipulation Model

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Classroom Contents

Interpreting Deep Generative Models for Interactive AI Content Creation

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  1. 1 Introduction
  2. 2 Image Generation
  3. 3 Neural Image Generation Pipeline
  4. 4 Supervised Approach
  5. 5 Latent Space
  6. 6 Linear Classification
  7. 7 Linear Manipulation
  8. 8 Phase Generation
  9. 9 Linear Manipulation Model
  10. 10 Inverse Graphics Network
  11. 11 Challenges
  12. 12 On Second Approach
  13. 13 Interactive Content Creation Demo
  14. 14 Ganspace
  15. 15 Hessian Penalty
  16. 16 Inductive Bios
  17. 17 Challenge
  18. 18 Zero Version
  19. 19 Style Clip
  20. 20 OpenAI
  21. 21 Summary
  22. 22 Latent Spaces
  23. 23 Inversion Method
  24. 24 Evaluation
  25. 25 Applications
  26. 26 Conclusion

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