From the 1 of 9 linked papers with an AI index.
2 citations · 4 across the 5 of their papers we have counts for
6 papers · 1 filter
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…
Gramian Multimodal Representation Learning and Alignment
Giordano Cicchetti, Eleonora Grassucci, Luigi Sigillo +1
Human perception integrates multiple modalities, such as vision, hearing, and language, into a unified understanding of the surrounding reality. While recent multimodal models have…
Guess What I Think: Streamlined EEG-to-Image Generation with Latent Diffusion Models
Eleonora Lopez, Luigi Sigillo, Federica Colonnese +2
Generating images from brain waves is gaining increasing attention due to its potential to advance brain-computer interface (BCI) systems by understanding how brain signals encode…
Ship in Sight: Diffusion Models for Ship-Image Super Resolution
Luigi Sigillo, Riccardo Fosco Gramaccioni, Alessandro Nicolosi +1
In recent years, remarkable advancements have been achieved in the field of image generation, primarily driven by the escalating demand for high-quality outcomes across various ima…