Research map / Image generation / GANs
GAN "Steerability" without optimization
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Compute principal latent directions directly from generator weights using SVD rather than optimize directions from sampled activations | BigGAN-deep-512 · BigGAN-deep-512 | time: 10 hrs (all) -> 327 ms | Helped |
| Use orthogonal principal directions instead of GANSpace directions | BigGAN-deep-512 · First 50 directions | LPIPS distance: 33\cdot 10^{-3} -> 54\cdot 10^{-3} | Helped |
| Use the proposed principal directions instead of GANSpace directions | BigGAN-deep-512 · Principal vectors 0-25 | LPIPS variance: 0.036 -> 0.059 | Helped |
| Use the proposed principal directions instead of GANSpace directions | BigGAN-deep-512 · Principal vectors 25-50 | LPIPS variance: 0.03 -> 0.049 | Helped |
| Use a small circle walk with the least-dominant direction as reference instead of a great-circle walk (ablation) | BigGAN zoom-in trajectory · BigGAN, Labrador retriever zoom-in | mean horizontal shift: 0.08, 0.10, 0.06 and 0.01 | Helped |
| Use a small circle walk with the least-dominant direction as reference instead of a great-circle walk (ablation) | BigGAN zoom-in trajectory · BigGAN, Labrador retriever zoom-in | mean area: 0.85, 0.83, 0.80 and 0.76 | Mixed |
| Use nonlinear walks rather than linear walks for longer transformations (ablation) | BigGAN geometric steering · BigGAN, long zoom and shift walks | image plausibility | Helped |
| Use small-circle trajectories rather than great-circle trajectories to control coupling with other principal directions (ablation) | BigGAN principal-direction steering · Zoom-in with second-order size-location bias | undesired shift: 0.01 | Helped |
| Use a small circle walk with a dominant reference direction rather than the least-dominant reference direction (ablation) | BigGAN principal-direction steering · Zoom-in with vertical-shift coupling | zoom effect | Mixed |
| Replace a principal direction with a random latent direction (ablation) | BigGAN latent exploration · BigGAN | semantic disentanglement | Hurt |
Closest papers by meaning
- On the "steerability" of generative adversarial networks (ICLR 2020 · similarity 0.90)
- A Geometric Analysis of Deep Generative Image Models and Its Applications (ICLR 2021 · similarity 0.89)
- Unsupervised Discovery of Interpretable Directions in the GAN Latent Space (ICML 2020 · similarity 0.88)
- Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs (ICLR 2022 · similarity 0.87)
- Navigating the GAN Parameter Space for Semantic Image Editing (CVPR 2021 · similarity 0.87)
- The GAN is dead; long live the GAN! A Modern GAN Baseline (NeurIPS 2024 · similarity 0.85)
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