  Current visual generation methods can produce high quality videos guided by
texts. However, effectively controlling object dynamics remains a challenge.
This work explores audio as a cue to generate temporally synchronized image
animations. We introduce Audio Synchronized Visual Animation (ASVA), a task
animating a static image to demonstrate motion dynamics, temporally guided by
audio clips across multiple classes. To this end, we present AVSync15, a
dataset curated from VGGSound with videos featuring synchronized audio visual
events across 15 categories. We also present a diffusion model, AVSyncD,
capable of generating dynamic animations guided by audios. Extensive
evaluations validate AVSync15 as a reliable benchmark for synchronized
generation and demonstrate our models superior performance. We further explore
AVSyncDs potential in a variety of audio synchronized generation tasks, from
generating full videos without a base image to controlling object motions with
various sounds. We hope our established benchmark can open new avenues for
controllable visual generation. More videos on project webpage
https://lzhangbj.github.io/projects/asva/asva.html.
