no code implementations • 29 Apr 2024 • Leonardo Rossi, Vittorio Bernuzzi, Tomaso Fontanini, Massimo Bertozzi, Andrea Prati
Due to the limitations of current optical and sensor technologies and the high cost of updating them, the spectral and spatial resolution of satellites may not always meet desired requirements.
no code implementations • 16 Apr 2024 • Giuseppe Tarollo, Tomaso Fontanini, Claudio Ferrari, Guido Borghi, Andrea Prati
Among all the explored techniques, Semantic Image Synthesis (SIS) methods, whose goal is to generate an image conditioned on a semantic segmentation mask, are the most promising, even though preserving the perceived identity of the input subject is not their main concern.
1 code implementation • 19 Mar 2024 • Alex Ergasti, Claudio Ferrari, Tomaso Fontanini, Massimo Bertozzi, Andrea Prati
To address that, in this paper we propose a SIS framework based on a novel Latent Diffusion Model architecture for human face generation and editing that is both able to reproduce and manipulate a real reference image and generate diversity-driven results.
2 code implementations • 30 Aug 2023 • Tomaso Fontanini, Claudio Ferrari, Giuseppe Lisanti, Massimo Bertozzi, Andrea Prati
Thus, they tend to overlook global image statistics, ultimately leading to unconvincing local style editing and causing global inconsistencies such as color or illumination distribution shifts.
1 code implementation • 11 Jul 2023 • Tomaso Fontanini, Claudio Ferrari, Massimo Bertozzi, Andrea Prati
Also, we show our model can be put before a SIS generator, opening the way to a fully automatic generation control of both shape and texture.
1 code implementation • 21 Feb 2023 • Leonardo Rossi, Vittorio Bernuzzi, Tomaso Fontanini, Massimo Bertozzi, Andrea Prati
The ability to understand the surrounding scene is of paramount importance for Autonomous Vehicles (AVs).
no code implementations • 17 Aug 2021 • Runze Li, Tomaso Fontanini, Luca Donati, Andrea Prati, Bir Bhanu
Gradient-based attention modeling has been used widely as a way to visualize and understand convolutional neural networks.
no code implementations • 5 Dec 2019 • Tomaso Fontanini, Eleonora Iotti, Luca Donati, Andrea Prati
Above all, producing images belonging to different domains by using a single architecture is a very relevant goal for image generation.
no code implementations • 17 Sep 2019 • Tomaso Fontanini, Eleonora Iotti, Andrea Prati
In recent years, the majority of works on deep-learning-based image colorization have focused on how to make a good use of the enormous datasets currently available.
no code implementations • 15 Aug 2018 • Federico Magliani, Tomaso Fontanini, Andrea Prati
The recent advances brought by deep learning allowed to improve the performance in image retrieval tasks.
1 code implementation • 15 Jun 2018 • Federico Magliani, Tomaso Fontanini, Andrea Prati
It allows to drastically reduce the query time and outperforms the accuracy results compared to the state-of-the-art methods for large-scale landmark recognition.