Research map / Image generation / GANs
Cross-View Image Synthesis Using Conditional GANs
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add target-view segmentation generation as an auxiliary output | Pix2pix-style cross-view cGAN (X-Fork) · Dayton a2g 256×256 | KL(model || data): 38.26 ± 1.88 -> 6.00 ± 1.28 | Helped |
| Add target-view segmentation generation as an auxiliary output | Pix2pix-style cross-view cGAN (X-Fork) · Dayton g2a | KL(model || data): 6.39 ± 0.90 -> 4.45 ± 0.84; 7.88 ± 1.24 -> 6.92 ± 1.15 | Helped |
| Add target-view segmentation generation through a second, end-to-end cGAN | Pix2pix-style cross-view cGAN (X-Seq) · Dayton a2g 256×256 | KL(model || data): 38.26 ± 1.88 -> 5.93 ± 1.32 | Helped |
| Add target-view segmentation generation through a second, end-to-end cGAN | Pix2pix-style cross-view cGAN (X-Seq) · CVUSA a2g 256×256 | KL(model || data): 59.81 ± 2.12 -> 15.52 ± 1.73 | Helped |
| Generate target-view segmentation maps alongside images | Cross-view cGAN · Cross-view synthesis | generated image quality | Helped |
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