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 …

Video generation has witnessed significant advancements yet evaluating these models
remains a challenge. A comprehensive evaluation benchmark for video generation is …

Animating a still image offers an engaging visual experience. Traditional image animation
techniques mainly focus on animating natural scenes with stochastic dynamics (eg clouds …

Video synthesis has recently made remarkable strides benefiting from the rapid
development of diffusion models. However, it still encounters challenges in terms of …

Controllability plays a crucial role in video generation since it allows users to create desired
content. However, existing models largely overlooked the precise control of camera pose …

We introduce ToonCrafter, a novel approach that transcends traditional correspondence-
based cartoon video interpolation, paving the way for generative interpolation. Traditional …

Diffusion models have emerged as the de facto paradigm for video generation. However
their reliance on web-scale data of varied quality often yields results that are visually …

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 …

Despite significant advancements in video generation and editing using diffusion models,
achieving accurate and localized video editing remains a substantial challenge …

We present MOFA-Video, an advanced controllable image animation method that generates
video from the given image using various additional controllable signals (such as human …