32 citations · 54 across the 8 of their papers we have counts for
5 papers · 1 filter
MatFuse: Controllable Material Generation with Diffusion Models
Giuseppe Vecchio, Renato Sortino, Simone Palazzo +1
Creating high-quality materials in computer graphics is a challenging and time-consuming task, which requires great expertise. To simplify this process, we introduce MatFuse, a uni…
RADiff: Controllable Diffusion Models for Radio Astronomical Maps Generation
Renato Sortino, Thomas Cecconello, Andrea DeMarco +10
Along with the nearing completion of the Square Kilometre Array (SKA), comes an increasing demand for accurate and reliable automated solutions to extract valuable information from…
Transformer-based Image Generation from Scene Graphs
Renato Sortino, Simone Palazzo, Concetto Spampinato
Graph-structured scene descriptions can be efficiently used in generative models to control the composition of the generated image. Previous approaches are based on the combination…
Radio astronomical images object detection and segmentation: A benchmark on deep learning methods
Renato Sortino, Daniel Magro, Giuseppe Fiameni +9
In recent years, deep learning has been successfully applied in various scientific domains. Following these promising results and performances, it has recently also started being e…
Transforming Image Generation from Scene Graphs
Renato Sortino, Simone Palazzo, Concetto Spampinato
Generating images from semantic visual knowledge is a challenging task, that can be useful to condition the synthesis process in complex, subtle, and unambiguous ways, compared to…