Character Animation aims to generating character videos from still images through driving
signals. Currently diffusion models have become the mainstream in visual generation …

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

Text-to-video generation aims to produce a video based on a given prompt. Recently
several commercial video models have been able to generate plausible videos with minimal …

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

We present VideoPoet, a language model capable of synthesizing high-quality video, with
matching audio, from a large variety of conditioning signals. VideoPoet employs a decoder …

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 …

Customized generation using diffusion models has made impressive progress in image
generation but remains unsatisfactory in the challenging video generation task as it requires …

The vision and language generative models have been overgrown in recent years. For
video generation various open-sourced models and public-available services have been …

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 …

World models can foresee the outcomes of different actions, which is of paramount
importance for autonomous driving. Nevertheless, existing driving world models still have …