We introduce Motion-I2V, a novel framework for consistent and controllable text-guided
image-to-video generation (I2V). In contrast to previous methods that directly learn the …

The rapid development of diffusion models (DMs) has significantly advanced image and
video applications, making" what you want is what you see" a reality. Among these, video …

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

Video generation models have shown their superior ability to generate photo-realistic video.
However, how to accurately control (or edit) the video remains a formidable challenge. The …

In the dynamic field of digital content creation using generative models, state-of-the-art video
editing models still do not offer the level of quality and control that users desire. Previous …

As one of the most popular and sought-after generative models in the recent years, diffusion
models have sparked the interests of many researchers and steadily shown excellent …

Video-to-video editing involves editing a source video along with additional control (such as
text prompts, subjects, or styles) to generate a new video that aligns with the source video …

Significant progress has been made in text-to-video generation through the use of powerful
generative models and large-scale internet data. However, substantial challenges remain in …

Driven by the upsurge progress in text-to-image (T2I) generation models, text-to-video (T2V)
generation has experienced a significant advance as well. Accordingly, tasks such as …

The evolution of diffusion models has greatly impacted video generation and understanding.
Particularly, text-to-video diffusion models (VDMs) have significantly facilitated the …