Exploring and Exploiting Interpretable Semantics in GANs - CVPR 2020 Tutorial

Exploring and Exploiting Interpretable Semantics in GANs - CVPR 2020 Tutorial

Bolei Zhou via YouTube Direct link

Semantic hierarchy emerges

15 of 38

15 of 38

Semantic hierarchy emerges

Class Central Classrooms beta

YouTube playlists curated by Class Central.

Classroom Contents

Exploring and Exploiting Interpretable Semantics in GANs - CVPR 2020 Tutorial

Automatically move to the next video in the Classroom when playback concludes

  1. 1 Intro
  2. 2 GANs for Synthesizing Images
  3. 3 Generative Adversarial Training
  4. 4 Tutorial Outline
  5. 5 Deep Generative Representation
  6. 6 GAN Dissection for Interpreting Latent Units
  7. 7 Random Walk in Latent Space of Bedroom
  8. 8 Multiple Levels of Scene Descriptors
  9. 9 Identifying the Causality in Latent Space
  10. 10 Aligning Latent Space with Attribute Space
  11. 11 Pushing Latent Code through Boundary
  12. 12 Result on turning up the lights
  13. 13 Ageing the scenes
  14. 14 Layer-wise Stochasity
  15. 15 Semantic hierarchy emerges
  16. 16 Changing layout at Layer0-1
  17. 17 Varying category (Bedroom to Dining Room) at layers 3-6
  18. 18 Varying category (Bedroom to Living Room) at layers 3-6
  19. 19 Latent Semantics in Face Synthesis GANS
  20. 20 Interpolation in the Latent Space
  21. 21 InterfaceGAN: Bridging Latent Space to Attribute Space
  22. 22 GANalyze for changing image memoriability
  23. 23 All the approaches below need supervision
  24. 24 Unsupervised Attribute Discovery in GANS
  25. 25 Issues for unsupervised approaches
  26. 26 Make me cooler
  27. 27 GAN Inversion: Inverting Real Faces to Latent Code Synthesized Image x = G(Z)
  28. 28 GAN Inversion for Faces
  29. 29 GAN inversion is challenging!
  30. 30 Extended latent codes
  31. 31 Image2StyleGAN inversion: it kind of works!
  32. 32 But it seems overfitting the given image
  33. 33 Issue: resulting code might be out of the original latent domain
  34. 34 Comparison with Image2StyleGAN
  35. 35 Demo of image manipulation
  36. 36 Demo of image interpolation
  37. 37 Fun Application: Semantic Diffusion
  38. 38 Image Processing with GAN Prior

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.