CompSlider learns to synthesize image-conditioning latents from multiple attribute sliders at once, aiming for more disentangled and structure-preserving multi-attribute control in text-to-image generation.
Exploring the capability of text-to-image diffusion models with structural edge guidance for multi-spectral satellite image inpainting
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CompSlider: Compositional Slider for Disentangled Multiple-Attribute Image Generation
CompSlider learns to synthesize image-conditioning latents from multiple attribute sliders at once, aiming for more disentangled and structure-preserving multi-attribute control in text-to-image generation.