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 an approach to modeling an image-space prior on scene motion. Our prior is
learned from a collection of motion trajectories extracted from real video sequences …

Recent advancements in personalized text-to-image (T2I) models have revolutionized
content creation empowering non-experts to generate stunning images with unique styles …

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 …

Despite recent advances in image-to-video generation, better controllability and local
animation are less explored. Most existing image-to-video methods are not locally aware …

We introduce Text2Cinemagraph, a fully automated method for creating cinemagraphs from
text descriptions---an especially challenging task when prompts feature imaginary elements …

Image and video synthesis has become a blooming topic in computer vision and machine
learning communities along with the developments of deep generative models, due to its …

Diffusion models have achieved great progress in image animation due to powerful
generative capabilities. However, maintaining spatio-temporal consistency with detailed …

Image animation is a key task in computer vision which aims to generate dynamic visual
content from static image. Recent image animation methods employ neural based rendering …

Despite the recent strides in video generation, state-of-the-art methods still struggle with
elements of visual detail. One particularly challenging case is the class of egocentric …