Event generation for the LHC can be supplemented by generative adversarial networks,
which generate physical events and avoid highly inefficient event unweighting. For top pair …

Abstract Generative Adversarial Networks (GANs) are capturing the attention of peer
researchers in paired or unpaired image-to-image translation applications, particularly in the …

The Fr\'echet Video Distance (FVD) is a widely adopted metric for evaluating video
generation distribution quality. However, its effectiveness relies on critical assumptions. Our …

Virtual try-on aims to transfer clothes from one image to another while preserving intricate
wearer and clothing details. Tremendous efforts have been made to facilitate the task based …

Flow-based generative models have recently shown impressive performance for conditional
generation tasks, such as text-to-image generation. However, current methods transform a …

Variational autoencoders (VAEs) are popular likelihood-based generative models which can
be efficiently trained by maximising an evidence lower bound. There has been much …

Text-to-Image (TTI) systems often support people during ideation, the early stages of a
creative process when exposure to a broad set of relevant or partially relevant images can …

This paper approaches the unsupervised learning problem by gradient descent in the space
of probability density functions. A main result shows that along the gradient flow induced by …

Multimedia, a term that has become integral to our understanding of the digital age,
represents the convergence of text, audio, images, video, and animation into a single …

Recent works have primarily focused on semantic communications for text/speech
modalities, thus falling under the category of text semantic communications (TSC). In …