Multi-view observations potentially offer a more comprehensive understanding of real-world phenomena com- pared to observations acquired from a single viewpoint. Existing models that utilize multi-view data often consider that all views are available during inference, but this assumption may not hold in practical scenarios. To address this limitation, we introduce MVLD, a novel method that, by employing a deterministic autoencoder and a score-based diffusion model, is capable of imputing missing views. We finally envision MVLD being used in a communication system for image transmission.

Multi-View Latent Diffusion / DI GIACOMO, Giuseppe; Franzese, Giulio; Cerquitelli, Tania; Chiasserini, Carla Fabiana; Michiardi, Pietro. - ELETTRONICO. - (2023). (Intervento presentato al convegno 2023 IEEE International Conference on Big Data tenutosi a Salerno (Italy) nel December 2023).

Multi-View Latent Diffusion

Giuseppe Di Giacomo;Tania Cerquitelli;Carla Fabiana Chiasserini;
2023

Abstract

Multi-view observations potentially offer a more comprehensive understanding of real-world phenomena com- pared to observations acquired from a single viewpoint. Existing models that utilize multi-view data often consider that all views are available during inference, but this assumption may not hold in practical scenarios. To address this limitation, we introduce MVLD, a novel method that, by employing a deterministic autoencoder and a score-based diffusion model, is capable of imputing missing views. We finally envision MVLD being used in a communication system for image transmission.
File in questo prodotto:
File Dimensione Formato  
Poster___Multi_View_Latent_Diffusion-3.pdf

non disponibili

Tipologia: 2. Post-print / Author's Accepted Manuscript
Licenza: Non Pubblico - Accesso privato/ristretto
Dimensione 174.35 kB
Formato Adobe PDF
174.35 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2983795