Advancements in deep learning techniques and the availability of free, large databases
have made it possible, even for non-technical people, to either manipulate or generate …

Despite the stunning ability to generate high-quality images by recent text-to-image models,
current approaches often struggle to effectively compose objects with different attributes and …

Conditional image-to-video (cI2V) generation aims to synthesize a new plausible video
starting from an image (eg, a person's face) and a condition (eg, an action class label like …

Diffusion models arise as a powerful generative tool recently. Despite the great progress,
existing diffusion models mainly focus on uni-modal control, ie, the diffusion process is …

A fundamental characteristic common to both human vision and natural language is their
compositional nature. Yet, despite the performance gains contributed by large vision and …

Existing automatic evaluation on text-to-image synthesis can only provide an image-text
matching score, without considering the object-level compositionality, which results in poor …

Human evaluation is critical for validating the performance of text-to-image generative
models, as this highly cognitive process requires deep comprehension of text and images …

In this paper, we present VideoGen, a text-to-video generation approach, which can
generate a high-definition video with high frame fidelity and strong temporal consistency …

Text-to-video (T2V) generation models have advanced significantly, yet their ability to
compose different objects, attributes, actions, and motions into a video remains unexplored …

The revolutionary breakthroughs in Machine Learning (ML) and Artificial Intelligence (AI) are
extensively being harnessed across a diverse range of domains, eg, forensic science …