Research map / Image generation / GANs
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Ablate 20 manually identified artifact-causing units (ablation) | Progressive GAN · LSUN outdoor church images | FID: 43.16 -> 27.14 | Helped |
| Ablate 20 randomly chosen units (ablation) | Progressive GAN · LSUN outdoor church images | FID: 43.16 -> 43.17 | No clear effect |
| Ablate 20 manually identified artifact-causing units (ablation) | Progressive GAN · LSUN outdoor church images | Human preference score: 72.4% vs 49.9% | Helped |
| Ablate the 20 highest-FID units (ablation) | Progressive GAN · LSUN outdoor church images | FID: 43.16 -> 27.6 | Helped |
| Ablate the union of manually chosen and highest-FID artifact units (30 total) (ablation) | Progressive GAN · LSUN outdoor church images | FID: 43.16 -> 26.1 | Helped |
| Add minibatch standard-deviation statistics to the discriminator | Progressive GAN · LSUN scene datasets | Number of object, part, and material types matched by units: more than 40% | Helped |
| Add pixelwise normalization | Progressive GAN with minibatch standard-deviation statistics · LSUN scene datasets | Number of units matching semantic classes: 19% | Helped |
| Ablate 20 causal units for people, curtains, or windows (ablation) | Conference room Progressive GAN · Conference room scenes | Object pixels | Helped |
| Ablate 20 causal units for tables or chairs (ablation) | Conference room Progressive GAN · Conference room scenes | Object removal | Mixed |
| Ablate 20 window-causal units (ablation) | Progressive GANs trained on different scene categories · Bedroom scenes | Window removal | Hurt |
| Insert 20 causal door units at a featuremap location | Church-scene Progressive GAN · Church scenes | Door insertion | Mixed |
Closest papers by meaning
- Are GANs Created Equal? A Large-Scale Study (NeurIPS 2018 · similarity 0.90)
- A Geometric Analysis of Deep Generative Image Models and Its Applications (ICLR 2021 · similarity 0.89)
- Geometry Score: A Method For Comparing Generative Adversarial Networks (ICML 2018 · similarity 0.88)
- PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs (ICLR 2023 · similarity 0.88)
- A Classification-Based Study of Covariate Shift in GAN Distributions (ICML 2018 · similarity 0.88)
- The GAN is dead; long live the GAN! A Modern GAN Baseline (NeurIPS 2024 · similarity 0.88)
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