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CookGAN: Causality Based Text-to-Image Synthesis

CVPR 2020 · Image generation › Text-to-image diffusion · approach: Layout-to-image control · 76 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use CookGAN's causal, stepwise recipe-to-image generation instead of StackGAN++Recipe1M image generation · Recipe1M testInception score: 5.03 ± .09 -> 5.41 ± .11Helped
add cooking-step encoding with the Cooking Simulator (ablation)CookGAN · Recipe1M testInception score: 4.79 ± .08 -> 5.41 ± .11Helped
add image-attended ingredient features during sequential upsampling (ablation)CookGAN · Recipe1M testInception score: 5.30 ± .09 -> 5.41 ± .11Helped
add cooking-step encoding with the Cooking Simulator (ablation)CookGAN · Recipe1M test, I2RMedR: 84.5 -> 64.0Helped
add image-attended ingredient features during sequential upsampling (ablation)CookGAN · Recipe1M test, I2RMedR: 77.0 -> 64.0Helped
add cooking-step encoding with the Cooking Simulator (ablation)CookGAN · Recipe1M test, I2IMedR: 115.5 -> 108.0Helped
add image-attended ingredient features during sequential upsampling (ablation)CookGAN · Recipe1M test, I2IMedR: 123.0 -> 108.0Helped
progressively upsample recipe-conditioned images rather than use R2GAN thumbnailsRecipe1M image generation and I2R retrieval · Recipe1M test, I2RMedR: 500.0 -> 64.0Helped
add ingredients and cooking instructions together rather than use ingredients alone (ablation)CookGAN · Recipe1M testInception score: 4.79 ± .08 -> 5.41 ± .11Helped

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