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GAN Dissection for Interpreting Latent Units
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Classroom Contents
Exploring and Exploiting Interpretable Semantics in GANs - CVPR 2020 Tutorial
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- 1 Intro
- 2 GANs for Synthesizing Images
- 3 Generative Adversarial Training
- 4 Tutorial Outline
- 5 Deep Generative Representation
- 6 GAN Dissection for Interpreting Latent Units
- 7 Random Walk in Latent Space of Bedroom
- 8 Multiple Levels of Scene Descriptors
- 9 Identifying the Causality in Latent Space
- 10 Aligning Latent Space with Attribute Space
- 11 Pushing Latent Code through Boundary
- 12 Result on turning up the lights
- 13 Ageing the scenes
- 14 Layer-wise Stochasity
- 15 Semantic hierarchy emerges
- 16 Changing layout at Layer0-1
- 17 Varying category (Bedroom to Dining Room) at layers 3-6
- 18 Varying category (Bedroom to Living Room) at layers 3-6
- 19 Latent Semantics in Face Synthesis GANS
- 20 Interpolation in the Latent Space
- 21 InterfaceGAN: Bridging Latent Space to Attribute Space
- 22 GANalyze for changing image memoriability
- 23 All the approaches below need supervision
- 24 Unsupervised Attribute Discovery in GANS
- 25 Issues for unsupervised approaches
- 26 Make me cooler
- 27 GAN Inversion: Inverting Real Faces to Latent Code Synthesized Image x = G(Z)
- 28 GAN Inversion for Faces
- 29 GAN inversion is challenging!
- 30 Extended latent codes
- 31 Image2StyleGAN inversion: it kind of works!
- 32 But it seems overfitting the given image
- 33 Issue: resulting code might be out of the original latent domain
- 34 Comparison with Image2StyleGAN
- 35 Demo of image manipulation
- 36 Demo of image interpolation
- 37 Fun Application: Semantic Diffusion
- 38 Image Processing with GAN Prior
