We introduce DragAnything, which utilizes a entity representation to achieve motion control
for any object in controllable video generation. Comparison to existing motion control …

Recent text-to-video diffusion models have achieved impressive progress. In practice, users
often desire the ability to control object motion and camera movement independently for …

Filmmaking and animation production often require sophisticated techniques for
coordinating camera transitions and object movements, typically involving labor-intensive …

Generating controllable videos conforming to user intentions is an appealing yet challenging
topic in computer vision. To enable maneuverable control in line with user intentions, a …

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 …

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 …

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

High-quality motion capture datasets are now publicly available, and researchers have used
them to create kinematics-based controllers that can generate plausible and diverse human …

What would be the effect of locally poking a static scene? We present an approach that
learns naturally-looking global articulations caused by a local manipulation at a pixel level …

Motion synthesis in a dynamic environment has been a long-standing problem for character
animation. Methods using motion capture data tend to scale poorly in complex environments …