Generative models have made significant impacts across various domains, largely due to
their ability to scale during training by increasing data, computational resources, and model …

Powerful adversarial attack methods are vital for understanding how to construct robust deep
neural networks (DNNs) and for thoroughly testing defense techniques. In this paper, we …

… {li}i=1:N , we propose to formulate our text-to-video model generative model pθ(τ|L) as a
product of individual generative models defined on each parses language subcomponent li …

Recent text-to-image generation models like DreamBooth have made remarkable progress
in generating highly customized images of a target subject, by fine-tuning an``expert model''…

We present Mobile Video Networks (MoViNets), a family of computation and memory efficient
video networks that can operate on streaming video for online inference. 3D convolutional …

Nowadays, big data systems are being widely adopted by many domains for offering
effective data solutions, such as manufacturing, healthcare, education, and media. Big data …

Designing durable and highly active photocatalysts for hydrogen evolution via water splitting
is still very challenging. Novel NiCo-LDH/P-CdS hybrid photocatalysts are fabricated by …

BACKGROUND: The adult mammalian heart is incapable of regeneration, whereas a
transient regenerative capacity is maintained in the neonatal heart, primarily through the …

This paper presents Instruct-Imagen, a model that tackles heterogeneous image generation
tasks and generalizes across unseen tasks. We introduce multi-modal in-struction for image …

There is a growing interest in designing models that can deal with images from different
visual domains. If there exists a universal structure in different visual domains that can be …