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cs.CV2026

Grounding Free-Form Instructions for Fashion Complementary Image Generation

Matteo Attimonelli, Claudio Pomo, Alessandro De Bellis +3

Fashion complementary image generation (CIG) aims to create garments that stylistically match a seed item based on user intent, making it a natural multimodal grounding problem whe…

cs.MA2026

Who Are You Explaining To? A Multi-Agent System for Audience-Aware XAI Narratives

Francesco Musicco, Danilo Danese, Giuseppe Fasano +3

Feature-attribution methods such as SHAP provide useful evidence about individual model predictions, but their numerical outputs are rarely sufficient for audiences with different…

cs.CV2026

Now You Have My Healthy Attention: A U-DiT for Brain-MRI Inpainting

Danilo Danese, Angela Lombardi, Tommaso Di Noia

The ASNR-MICCAI BraTS Local Synthesis (Inpainting) task asks for the anatomically plausible completion of healthy brain tissue within a masked region of a T1-weighted MRI, providin…

cs.CV2026

WaveDiT: Distribution-Aware Wavelet Flow Matching for Efficient 3D Brain MRI Synthesis

Danilo Danese, Angela Lombardi, Giuseppe Fasano +2

Large and demographically balanced datasets are essential for reliable neuroimaging biomarkers. Full-resolution 3D brain MRI synthesis can support data augmentation in this setting…

cs.CV2026

FlowLet: Conditional 3D Brain MRI Synthesis using Wavelet Flow Matching

Danilo Danese, Angela Lombardi, Matteo Attimonelli +2

Brain Magnetic Resonance Imaging (MRI) plays a central role in studying neurological development, aging, and diseases. One key application is Brain Age Prediction (BAP), which esti…