Recent studies have demonstrated the effectiveness of token-based methods for visual
content generation. As a representative work, non-autoregressive Transformers (NATs) are …

Personalized text-to-image models allow users to generate varied styles of images
(specified with a sentence) for an object (specified with a set of reference images). While …

Autonomous driving necessitates the ability to reason about future interactions between
traffic agents and to make informed evaluations for planning. This paper introduces the\textit …

In the e-commerce realm, compelling advertising images are pivotal for attracting customer
attention. While generative models automate image generation, they often produce …

Large text-to-video models hold immense potential for a wide range of downstream
applications. However, these models struggle to accurately depict dynamic object …

Generative AI models have recently achieved astonishing results in quality and are
consequently employed in a fast-growing number of applications. However, since they are …