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 …

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 …

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 …

Diffusion models usher a new era of video editing, flexibly manipulating the video contents
with text prompts. Despite the widespread application demand in editing human-centered …

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 …

ControlNet excels at creating content that closely matches precise contours in user-provided
masks. However, when these masks contain noise, as a frequent occurrence with non …

Despite the remarkable generation capabilities of Diffusion Models (DMs), conducting
training and inference remains computationally expensive. Previous works have been …

Large Language Models have shown remarkable efficacy in generating streaming data such
as text and audio, thanks to their temporally uni-directional attention mechanism, which …

Large-scale video generation models have the inherent ability to realistically model natural
scenes. In this paper, we demonstrate that through a careful design of a generative video …

The proliferation of social networking platforms such as YouTube, Facebook, Instagram, and
X has led to an exponential growth in multimedia content, with billions of videos uploaded …