Generative models, such as DALL-E, Midjourney, and Stable Diffusion, hav...
Recently, generative adversarial networks (GANs) have achieved stunning
...
This paper is devoted to signal processing on point-clouds by means of n...
The use of optimal transport cost for learning generative models has bec...
The recent advent of powerful generative models has triggered the renewe...
This paper describes a novel approach for on demand volumetric texture
s...
In this article we revisit the definition of Precision-Recall (PR) curve...
State of the art deep generative networks are capable of producing image...
Part-based image classification consists in representing categories by s...
We investigate in this work a versatile convex framework for multiple im...
This work is about the use of regularized optimal-transport distances fo...