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BachGAN: High-Resolution Image Synthesis From Salient Object Layout

CVPR 2020 · Image generation › Autoregressive and latent generation · approach: Layout generation · 40 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add background retrieval and fusion to the SPADE-based salient-layout generatorBachGAN versus SPADE · CityscapesFID: 86.7 -> 73.3Helped
Add background retrieval and fusion to the SPADE-based salient-layout generatorBachGAN versus SPADE · ADE20KAcc: 55.3 -> 66.8Helped
Add background retrieval and fusion to the SPADE-based salient-layout generatorBachGAN versus SPADE-SEG · CityscapesFID: 81.2 -> 73.3Helped
Use multiple retrieved backgrounds with a fusion module instead of the single-retrieval baselineBachGAN versus BachGAN-r · CityscapesAcc: 67.3 -> 70.4Helped
Use multiple retrieved backgrounds with a fusion module instead of the single-retrieval baselineBachGAN versus BachGAN-r · ADE20KFID: 53.2 -> 49.8Helped
Increase retrieved segmentation maps from Top-3 to Top-5 (ablation)BachGAN · CityscapesFID: 73.31 -> 72.95Helped
Increase memory bank size from |B| to 2 × |B| (ablation)BachGAN · CityscapesFID: 73.31 -> 72.50Helped
Increase memory bank size from |B| to 2 × |B| (ablation)BachGAN-r · CityscapesFID: 74.44 -> 73.95Helped
Increase memory bank size from 1/2 × |B| to |B| (ablation)BachGAN · CityscapesFID: 74.2 -> 73.3Helped
Increase memory bank size from 1/2 × |B| to |B| (ablation)BachGAN · ADE20KFID: 51.2 -> 49.8Helped

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