The recent wave of AI-generated content (AIGC) has witnessed substantial success in
computer vision, with the diffusion model playing a crucial role in this achievement. Due to …

Significant advancements have been achieved in the realm of large-scale pre-trained text-to-
video Diffusion Models (VDMs). However, previous methods either rely solely on pixel …

Motions in a video primarily consist of camera motion, induced by camera movement, and
object motion, resulting from object movement. Accurate control of both camera and object …

Diffusion-based methods have shown impressive visual results in the text-to-image domain.
They first learn a latent space using an autoencoder, then run a denoising process on the …

Creating high-dynamic videos such as motion-rich actions and sophisticated visual effects
poses a significant challenge in the field of artificial intelligence. Unfortunately current state …

Recently video generation has achieved substantial progress with realistic results.
Nevertheless, existing AI-generated videos are usually very short clips (" shot-level'') …

Denoising diffusion models have emerged as a powerful tool for various image generation
and editing tasks, facilitating the synthesis of visual content in an unconditional or input …

Despite the recent progress in text-to-video generation, existing studies usually overlook the
issue that only spatial contents but not temporal motions in synthesized videos are under the …

Contemporary models for generating images show remarkable quality and versatility.
Swayed by these advantages the research community repurposes them to generate videos …

In this work we present Vlogger a generic AI system for generating a minute-level video blog
(ie vlog) of user descriptions. Different from short videos with a few seconds vlog often …