3 citations · 7 across the 5 of their papers we have counts for
26 papers
A Wavelet Diffusion GAN for Image Super-Resolution
Lorenzo Aloisi, Luigi Sigillo, Aurelio Uncini +1
In recent years, diffusion models have emerged as a superior alternative to generative adversarial networks (GANs) for high-fidelity image generation, with wide applications in tex…
Metadata, Wavelet, and Time Aware Diffusion Models for Satellite Image Super Resolution
Luigi Sigillo, Renato Giamba, Danilo Comminiello
The acquisition of high-resolution satellite imagery is often constrained by the spatial and temporal limitations of satellite sensors, as well as the high costs associated with fr…
Quaternion Wavelet-Conditioned Diffusion Models for Image Super-Resolution
Luigi Sigillo, Christian Bianchi, Aurelio Uncini +1
Image Super-Resolution is a fundamental problem in computer vision with broad applications spacing from medical imaging to satellite analysis. The ability to reconstruct high-resol…
Latent Wavelet Diffusion For Ultra-High-Resolution Image Synthesis
Luigi Sigillo, Shengfeng He, Danilo Comminiello
High-resolution image synthesis remains a core challenge in generative modeling, particularly in balancing computational efficiency with the preservation of fine-grained visual det…
Training-Free Multi-User Generative Semantic Communications via Null-Space Diffusion Sampling
Eleonora Grassucci, Jinho Choi, Jihong Park +3
In recent years, novel communication strategies have emerged to face the challenges that the increased number of connected devices and the higher quality of transmitted information…
Closing the gap in multimodal medical representation alignment
Eleonora Grassucci, Giordano Cicchetti, Danilo Comminiello
In multimodal learning, CLIP has emerged as the de-facto approach for mapping different modalities into a shared latent space by bringing semantically similar representations close…