Recent advances in text-to-image synthesis have been enabled by exploiting a combination
of language and vision through foundation models. These models are pre-trained on …

Thermal comfort inside buildings is a well-studied field where human judgment for thermal
comfort is collected and may be used for automatic thermal comfort estimation. However …

Best viewpoint selection (BVS) aims to automatically identify the most informative and
human preference viewpoints of 3D shapes, clearly conveying their complexity and …

Cluster separation is a task typically tackled by widely used clustering techniques, such as k‐
means or DBSCAN. However, these algorithms are based on non‐perceptual metrics, and …

In this paper, we present a novel approach for the optimal camera selection in video games.
The new approach explores the use of information theoretic metrics f-divergences, to …

Visualizations for scattered data are used to make users understand certain attributes of
their data by solving different tasks, eg correlation estimation, outlier detection, cluster …

Dans notre monde tridimensionnel, les objets sont souvent représentés en deux
dimensions, principalement visualisés à travers des supports 2D tels que des catalogues en …

The shape and discernible information of a 3D scene varies considerably with the point of
view of the camera. This paper describes an optimization algorithm that automatically finds …