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Diversity-Sensitive Conditional Generative Adversarial Networks
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add diversity regularization to cGAN | cGAN image-to-image translation · label→image | LPIPS: 0.01 -> 0.18 | Helped |
| Add diversity regularization to cGAN | cGAN image-to-image translation · label→image | FID: 85.07 -> 57.20 | Helped |
| Add diversity regularization to cGAN | cGAN image-to-image translation · map→image | LPIPS: 0.02 -> 0.13 | Helped |
| Add diversity regularization to cGAN | cGAN image-to-image translation · map→image | FID: 90.08 -> 49.92 | Helped |
| Add diversity regularization to cGAN | cGAN image-to-image translation · edge→photo | LPIPS: 0.02 -> 0.12 | Helped |
| Add diversity regularization to cGAN | cGAN image-to-image translation · edge→photo | FID: 31.80 -> 23.06 | Mixed |
| Replace output-space distance with discriminator feature-space distance (ablation) | DSGAN inpainting · CelebA image inpainting | LPIPS: 0.01 -> 0.05 | Helped |
| Replace output-space distance with discriminator feature-space distance (ablation) | DSGAN inpainting · CelebA image inpainting | FID: 13.95 -> 13.94 | Helped |
| Increase regularization weight to λ=20 (ablation) | DSGAN label→image · label→image | FID: FID=191 | Hurt |
| Increase regularization weight to λ=20 (ablation) | DSGAN label→image · label→image | LPIPS: LPIPS=0.20 | Helped |
| Add diversity regularization to pix2pixHD | pix2pixHD · Cityscapes | LPIPS: 0.00 -> 0.12 | Helped |
| Add diversity regularization to pix2pixHD | pix2pixHD · Cityscapes | Segmentation accuracy (%): 0.93 -> 0.92 | Hurt |
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- CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation (ICLR 2021 · similarity 0.91)
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