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Research map / Image generation / Editing and style transfer

InstaGAN: Instance-aware Image-to-Image Translation

ICLR 2019 · Image generation › Editing and style transfer · approach: Image-to-image translation · 136 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace CycleGAN with InstaGAN using instance masksCCP image translation · CCP pants→shorts testclassification score: 0.085 -> 0.232Helped
Replace CycleGAN with InstaGAN using instance masksCOCO image translation · COCO sheep→giraffe testmasked classification score: 0.594 -> 0.781Helped
Add a set-based instance-aware architecture instead of translating the union of masks (ablation)InstaGAN image translation · Multi-instance transfigurationinstance separation and shape qualityHelped
Add context preserving loss (ablation)InstaGAN image translation · Multi-instance transfigurationbackground preservationHelped
Add sequential mini-batch translation during training and inference (ablation)InstaGAN image translation · Images with many instancesgeneralization performanceHelped
Add sequential mini-batch translation during training (ablation)InstaGAN image translation · Images with few instancestranslation qualityHelped
Use one-step training with sequential inference instead of sequential training and inference (ablation)InstaGAN · Multi-instance translationvisual translation qualityHurt
Use sequential training with one-step inference instead of sequential training and inference (ablation)InstaGAN · Images with many instancesgeneralization performanceHurt
Order instance mini-batches by decreasing spatial size rather than randomly (ablation)InstaGAN sequential translation · Multi-instance translationtranslation performanceHelped
Apply spectral normalization to the discriminator (ablation)InstaGAN discriminator · Image-to-image translation experimentsperformanceHelped
Apply spectral normalization to the generator (ablation)InstaGAN generator · Image-to-image translation experimentsperformanceNo clear effect

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