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Multistage Adversarial Losses for Pose-Based Human Image Synthesis

CVPR 2018 · Image generation › Autoregressive and latent generation · approach: Compositional scene generation · 80 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use the pose-based multistage method instead of PG2Human image synthesis · Human3.6M testSSIM: 0.60 -> 0.72Helped
Use the pose-based multistage method instead of PG2Human image synthesis · Human3.6M testPSNR: 19.19 -> 20.62Helped
Add an image-only discriminator to Unet (ablation)Foreground transformer · Human3.6M test foregroundSSIM: 0.77 -> 0.73Hurt
Add an image-only discriminator to Unet (ablation)Foreground transformer · Human3.6M test foregroundPSNR: 20.49 -> 19.39Hurt
Add a pose encoder to Unet without a discriminator (ablation)Foreground transformer · Human3.6M test foregroundSSIM: 0.77 -> 0.82Helped
Add a pose encoder to Unet without a discriminator (ablation)Foreground transformer · Human3.6M test foregroundPSNR: 20.49 -> 22.57Helped
Add skip connections to the pose- and GAN-equipped encoder-decoder (ablation)Foreground transformer · Human3.6M test foregroundSSIM: 0.75 -> 0.81Helped
Add skip connections to the pose- and GAN-equipped encoder-decoder (ablation)Foreground transformer · Human3.6M test foregroundPSNR: 19.81 -> 22.10Helped
Add a GAN discriminator to Unet+Pose (ablation)Foreground transformer · Human3.6M test foregroundSSIM: 0.82 -> 0.81Hurt
Add a GAN discriminator to Unet+Pose (ablation)Foreground transformer · Human3.6M test foregroundPSNR: 22.57 -> 22.10Hurt
Replace the background discriminator with a global discriminator while retaining the foreground discriminator (ablation)Background transformer · Human3.6M test backgroundSSIM: 0.67 -> 0.72Helped
Replace the background discriminator with a global discriminator while retaining the foreground discriminator (ablation)Background transformer · Human3.6M test backgroundPSNR: 19.70 -> 20.62Helped

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