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PCGAN: Partition-Controlled Human Image Generation

AAAI 2019 · Image generation › Editing and style transfer · approach: Pose-guided person image synthesis · 20 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use PCGAN instead of Def. GANHuman image generation · Market-1501IS: 3.185 -> 3.657Helped
Use PCGAN instead of Def. GANHuman image generation · Market-1501mask-IS: 3.502 -> 3.614Helped
Use PCGAN instead of Def. GANHuman image generation · Market-1501FID: 45.958 -> 20.355Helped
Use PCGAN instead of Def. GANHuman image generation · DeepFashionIS: 3.439 -> 3.536Helped
Use PCGAN instead of Def. GANHuman image generation · DeepFashionFID: 19.200 -> 29.684Hurt
Add region-mask feature processing to the Deformable GAN baseline (ablation)Human image generation · LIPIS: 3.383 -> 4.794Helped
Add region-mask feature processing to the Deformable GAN baseline (ablation)Human image generation · COCO2017IS: 3.576 -> 5.237Helped
Add region-mask feature processing to the Deformable GAN baseline (ablation)Human image generation · Market-1501IS: 3.185 -> 3.821Helped
Add region-mask feature processing to the Deformable GAN baseline (ablation)Human image generation · FashionIS: 3.168 -> 3.168No clear effect
Replace region masks with more accurate Mask-RCNN or ground-truth masks (ablation)R-Mask · LIPIS: 4.794 -> 4.957Helped
Replace region masks with more accurate Mask-RCNN or ground-truth masks (ablation)R-Mask · COCO2017IS: 5.237 -> 5.448Helped
Replace region masks with more accurate Mask-RCNN masks (ablation)R-Mask · Market-1501IS: 3.821 -> 3.657Hurt

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