AIMoCap
AIMoCap

CUSTOM AVATAR

Reusable avatar targets for video mocap

Publish tested avatars in AIMoCap so future Studio jobs can target the same character without repeating setup.

For teams that need repeated mocap jobs on a stable character target.

Short answer

AIMoCap supports reusable avatar targets workflows through upload, A-pose preparation, skeleton binding, retarget test, publish, and reuse.

When to use AIMoCap

Use AIMoCap when reusable Studio targets should become a reusable Studio target for future video mocap jobs.

When not to use AIMoCap

Do not skip binding and retarget testing; a character should be published only after the mapping is verified.

Custom character workflows need more than a one-time upload. The important part is turning an asset into a reusable, tested target.

AIMoCap separates avatar preparation from mocap processing so teams can reuse published characters across jobs.

Retargeting boundaries

  • Published avatars are reusable Studio targets.
  • Retarget tests help confirm skeleton mapping before production use.
  • Custom avatar output is separate from Unitree G1 robot output.
  • Source asset quality and skeleton structure affect retargeting results.

Avatar preparation workflow

01

Upload the character

Create a character profile and upload the source FBX asset.

02

Prepare and bind

Adjust A-pose when needed, map the skeleton, and run a retarget test.

03

Publish for reuse

Publish the avatar after review so it appears as a reusable mocap target.

Common questions

Does AIMoCap support reusable avatar targets?

Yes. AIMoCap includes a custom avatar workflow for upload, bind, test, publish, and reuse.

Why publish an avatar?

Publishing turns a tested avatar into a reusable output target for future Studio jobs.

Can API jobs use custom avatars?

Custom avatar usage should be planned around published targets and account-specific workflow support.