Search Results for author: Tomaso Fontanini

Found 11 papers, 6 papers with code

Swin2-MoSE: A New Single Image Super-Resolution Model for Remote Sensing

2 code implementations29 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.

Multispectral Image Super-resolution Semantic Segmentation +1

Adversarial Identity Injection for Semantic Face Image Synthesis

no code implementations16 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.

Adversarial Attack Face Generation +2

Towards Controllable Face Generation with Semantic Latent Diffusion Models

1 code implementation19 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.

Face Generation

Semantic Image Synthesis via Class-Adaptive Cross-Attention

2 code implementations30 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.

Image Generation Semantic Segmentation +1

Automatic Generation of Semantic Parts for Face Image Synthesis

1 code implementation11 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.

Decoder Image Generation +2

MetalGAN: Multi-Domain Label-Less Image Synthesis Using cGANs and Meta-Learning

no code implementations5 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.

Attribute Generative Adversarial Network +2

MetalGAN: a Cluster-based Adaptive Training for Few-Shot Adversarial Colorization

no code implementations17 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.

Colorization Image Colorization +1

Efficient Nearest Neighbors Search for Large-Scale Landmark Recognition

1 code implementation15 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.

Landmark Recognition Retrieval

Cannot find the paper you are looking for? You can Submit a new open access paper.