Precipitation nowcasting with generative diffusion models

A Asperti, F Merizzi, A Paparella, G Pedrazzi… - arXiv preprint arXiv …, 2023 - arxiv.org
In recent years traditional numerical methods for accurate weather prediction have been
increasingly challenged by deep learning methods. Numerous historical datasets used for …

Advances in Diffusion Models for Image Data Augmentation: A Review of Methods, Models, Evaluation Metrics and Future Research Directions

P Alimisis, I Mademlis, P Radoglou-Grammatikis… - arXiv preprint arXiv …, 2024 - arxiv.org
Image data augmentation constitutes a critical methodology in modern computer vision
tasks, since it can facilitate towards enhancing the diversity and quality of training datasets; …

[HTML][HTML] Portrait Reification with Generative Diffusion Models

A Asperti, G Colasuonno, A Guerra - Applied Sciences, 2023 - mdpi.com
An application of Generative Diffusion Techniques for the reification of human portraits in
artistic paintings is presented. By reification we intend the transformation of the painter's …

Non-gaussian hydraulic conductivity and potential contaminant source identification: A comparison of two advanced DLPM-based inversion framework

X Zhang, S Jiang, J Wei, C Wu, X Xia, X Wang… - Journal of …, 2024 - Elsevier
Accurate identification of hydraulic conductivity fields (K) and contaminant source
parameters is imperative for the enhanced assessment and effective remediation of polluted …

A generative approach to person reidentification

A Asperti, S Fiorilla, L Orsini - Sensors, 2024 - mdpi.com
Person Re-identification is the task of recognizing comparable subjects across a network of
nonoverlapping cameras. This is typically achieved by extracting from the source image a …

ELODIN: Naming Concepts in Embedding Spaces

R Mello, F Calegario, G Ramalho - arXiv preprint arXiv:2303.04001, 2023 - arxiv.org
Despite recent advancements, the field of text-to-image synthesis still suffers from lack of fine-
grained control. Using only text, it remains challenging to deal with issues such as concept …

[PDF][PDF] Diffusion generative models for weather forecasting

A ASPERTI, A PAPARELLA, F MERIZZI - amslaurea.unibo.it
Negli ultimi anni, i tradizionali approcci numerici utilizzati per la previsione accurata del
tempo meteorologico hanno dovuto affrontare una crescente sfida da parte dei metodi …