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Research map / Image generation / Autoregressive and latent generation

Image Generation From Scene Graphs

CVPR 2018 · Image generation › Autoregressive and latent generation · approach: Compositional scene generation · 854 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add graph convolution to the full model (ablation)Scene-graph image generation · COCO-Stuff testInception score: 4.6 ± 0.1 -> 6.7 ± 0.1Helped
Add graph convolution to the full model (ablation)Scene-graph image generation · Visual Genome testInception score: 4.2 ± 0.1 -> 5.5 ± 0.1Helped
Use the scene-graph relationships (ablation)Scene-graph image generation · COCO-Stuff testInception score: 3.7 ± 0.1 -> 6.7 ± 0.1Helped
Use the scene-graph relationships (ablation)Scene-graph image generation · Visual Genome testInception score: 4.9 ± 0.1 -> 5.5 ± 0.1Helped
Add both image and object discriminators (ablation)Scene-graph image generation · COCO-Stuff testInception score: 4.8 ± 0.1 -> 6.7 ± 0.1Helped
Add both image and object discriminators (ablation)Scene-graph image generation · Visual Genome testInception score: 3.6 ± 0.1 -> 5.5 ± 0.1Helped
Add the object discriminator (ablation)Scene-graph image generation · COCO-Stuff testInception score: 5.6 ± 0.1 -> 6.7 ± 0.1Helped
Add the object discriminator (ablation)Scene-graph image generation · Visual Genome testInception score: 5.0 ± 0.2 -> 5.5 ± 0.1Helped
Add the image discriminator (ablation)Scene-graph image generation · COCO-Stuff testInception score: 5.6 ± 0.1 -> 6.7 ± 0.1Helped
Add the image discriminator (ablation)Scene-graph image generation · Visual Genome testInception score: 5.7 ± 0.3 -> 5.5 ± 0.1No clear effect
Use ground-truth layouts instead of predicted layouts (ablation)Scene-graph image generation · COCO-Stuff testInception score: 6.7 ± 0.1 -> 7.3 ± 0.1Helped
Use ground-truth layouts instead of predicted layouts (ablation)Scene-graph image generation · Visual Genome testInception score: 5.5 ± 0.1 -> 6.3 ± 0.2Helped

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