Author

Daniele Berardini

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Open access Aug 2026

Domain-specific ControlNet training for neonatal pose-conditioned image generation

Several automatic approaches have been proposed to analyse spontaneous movements in infants, but translation to clinical practice remains limited by the scarcity of neonatal data, especially in preterm populations. Generative models can help expand existing datasets, yet current solutions—such as generative adversa...

Piergiuseppe Liuzzi, Lucia Migliorelli, Daniele Berardini et al. · Scientific Reports · 0 citations

Preprint Sep 2026

Revisiting Diffusion Fine-Tuning for Unsupervised Domain Adaptation

Diffusion-based unsupervised domain adaptation (UDA) improves cross-domain transfer by generating target-specific synthetic data for downstream adaptation. Existing methods are largely designed for single-target adaptation: when a model trained on one labeled source domain must be adapted to multiple unlabeled target d...

Qi Xuan, Yi-Xiang Wei, Daniele Berardini et al. · 0 citations