25 citations · 46 across the 7 of their papers we have counts for
7 papers
SISMA: Semantic Face Image Synthesis with Mamba
Filippo Botti, Alex Ergasti, Tomaso Fontanini +3
Diffusion Models have become very popular for Semantic Image Synthesis (SIS) of human faces. Nevertheless, their training and inference is computationally expensive and their compu…
U-Shape Mamba: State Space Model for faster diffusion
Alex Ergasti, Filippo Botti, Tomaso Fontanini +3
Diffusion models have become the most popular approach for high-quality image generation, but their high computational cost still remains a significant challenge. To address this p…
FLAV: Rolling Flow matching for infinite Audio Video generation
Alex Ergasti, Giuseppe Gabriele Tarollo, Filippo Botti +4
Joint audio-video (AV) generation is still a significant challenge in generative AI, primarily due to three critical requirements: quality of the generated samples, seamless multim…
Mamba-ST: State Space Model for Efficient Style Transfer
Filippo Botti, Alex Ergasti, Leonardo Rossi +4
The goal of style transfer is, given a content image and a style source, generating a new image preserving the content but with the artistic representation of the style source. Mos…
MARS: Paying more attention to visual attributes for text-based person search
Alex Ergasti, Tomaso Fontanini, Claudio Ferrari +2
Text-based person search (TBPS) is a problem that gained significant interest within the research community. The task is that of retrieving one or more images of a specific individ…
Adversarial Identity Injection for Semantic Face Image Synthesis
Giuseppe Tarollo, Tomaso Fontanini, Claudio Ferrari +2
Nowadays, deep learning models have reached incredible performance in the task of image generation. Plenty of literature works address the task of face generation and editing, with…
Controllable Face Synthesis with Semantic Latent Diffusion Models
Alex Ergasti, Claudio Ferrari, Tomaso Fontanini +2
Semantic Image Synthesis (SIS) is among the most popular and effective techniques in the field of face generation and editing, thanks to its good generation quality and the versati…