Most existing video diffusion models (VDMs) are limited to mere text conditions. Thereby,
they are usually lacking in control over visual appearance and geometry structure of the …

Text-to-video diffusion models enable the generation of high-quality videos that follow text
instructions, making it easy to create diverse and individual content. However, existing …

The recent innovations and breakthroughs in diffusion models have significantly expanded
the possibilities of generating high-quality videos for the given prompts. Most existing works …

Panorama video recently attracts more interest in both study and application courtesy of its
immersive experience. Due to the expensive cost of capturing 360-degree panoramic videos …

This work introduces Video Diffusion Transformer (VDT), which pioneers the use of
transformers in diffusion-based video generation. It features transformer blocks with …

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 …

Recent text-to-video diffusion models have achieved impressive progress. In practice, users
often desire the ability to control object motion and camera movement independently for …

Recent techniques for text-to-4D generation synthesize dynamic 3D scenes using
supervision from pre-trained text-to-video models. However, existing representations for …

Recent advances in generative AI have significantly enhanced image and video editing
particularly in the context of text prompt control. State-of-the-art approaches predominantly …

Text-to-image generation (TTI) refers to the usage of models that could process text input
and generate high fidelity images based on text descriptions. Text-to-image generation …