BootComp bootstraps large synthetic multi-garment training data with a decomposition network, then trains a frozen-generator diffusion model that generates humans wearing multiple reference garments with higher reported fidelity than prior methods.
Dream- sim: Learning new dimensions of human visual similarity us- ing synthetic data
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Controllable Human Image Generation with Personalized Multi-Garments
BootComp bootstraps large synthetic multi-garment training data with a decomposition network, then trains a frozen-generator diffusion model that generates humans wearing multiple reference garments with higher reported fidelity than prior methods.