CUSTOM AVATAR
Use AIMoCap character management to bind, test, and publish FBX characters for repeat mocap jobs.
For users searching for FBX character retargeting after video mocap processing.
FBX character retargeting prepares an FBX character so video mocap motion can be tested, published, and reused on that character instead of only exported as a generic animation file.
Use AIMoCap when an FBX character should become a reusable Studio target and your team wants a clear workflow for binding, testing, publish, and future mocap jobs.
Do not use this path when you only need a generic Default FBX motion export or when the character rig has not been checked for retargeting quality.
FBX character retargeting is often confused with downloading an FBX animation file. The retargeting problem is different: the receiving character has its own rig, proportions, pose, and cleanup needs.
AIMoCap's character workflow focuses on preparing the character target first, then using published targets in mocap jobs once the mapping has been tested.
This makes the page useful for teams evaluating whether a video mocap workflow can support their own character library rather than only a default animation skeleton.
A reliable FBX retargeting workflow should document both sides of the handoff: the source FBX character assumptions and the motion categories used to prove the target is reusable.
Use this matrix to decide whether an FBX character is ready to publish as a reusable mocap target, or whether the next fix belongs to pose, binding, downstream import, or target-version review.
Avatar-retargeting searches usually come from people who already hit a rig, rest-pose, scale, or cleanup problem. The page should explain how to diagnose target readiness instead of promising one-click character motion.
Users searching for FBX character retargeting often expect a character file to work immediately, but FBX character retargeting should move through upload, A-pose review, binding, retarget test, publish, and only then repeated mocap use.
When a FBX character retargeting result looks wrong, the next question should be whether the source clip, rest pose, skeleton mapping, scale, or retarget test caused the problem instead of rerunning blindly.
For FBX character retargeting, the workflow becomes valuable when the same character is used across many clips; publishing a tested target prevents setup work from being repeated for every job.
Use these facts to decide whether this workflow matches your output, integration, and cleanup needs.
Someone searching for FBX character retargeting usually needs target setup and quality gates, not only a video-to-FBX export promise.
Character rigs can differ enough that a generic output workflow does not answer the practical retargeting questions.
Published targets turn one-time setup into a reusable character library for future mocap jobs.
Comparing Default output and custom-character output on the same source helps isolate target setup issues from solved-motion issues.
FBX retargeting becomes more reliable when teams record source asset version, binding assumptions, test clips, and publish decisions.
FBX files can change subtly after re-export, so target acceptance should be tied to a specific file version rather than only a display name.
A character that previews well still needs DCC or engine checks when the final workflow depends on Unity, Unreal, Blender, Maya, or internal tools.
An FBX character retargeting target can be accepted for background or blocking use while still needing stricter tests before close-up or contact-heavy animation.
Confirm the correct asset is uploaded, then inspect whether the model and skeleton are appropriate for target preparation.
Adjust pose if necessary, bind the skeleton, and watch for character-specific issues such as scale, orientation, and limb mapping.
Use a test motion to inspect whether the character behaves acceptably before making it available for repeated mocap jobs.
Choose the published character target when the job needs character-specific review; choose Default output when generic animation output is enough.
If the custom character result looks wrong, compare the same source on Default output to separate solved-motion issues from FBX target setup issues.
Record bone naming assumptions, rest-pose edits, scale notes, root orientation, accepted test clip, and cleanup caveats before treating the character as reusable.
When a character is exported again from Blender, Maya, Unreal, Unity, or an internal tool, rerun target acceptance because units, axes, root, or armature hierarchy may change.
If the retarget result will be used in an engine or DCC, test at least one accepted clip there before calling the FBX target accepted for that environment.
No. Video to FBX focuses on exported motion. FBX character retargeting focuses on making a specific character target usable with mocap results.
Check pose, skeleton binding, retarget test motion, scale, limb behavior, and whether the result is acceptable for future jobs.
Skipping the test is risky because mapping issues may only become visible when motion is applied to the character.
Default output is useful for generic animation workflows, while a published character target is for character-specific preview and reuse.
No. It helps produce and review retargeted motion, but downstream tools may still be needed for polish and production cleanup.
Compare the same source clip on Default and the custom character, then inspect A-pose, binding, scale, root orientation, limb mapping, and stylized proportions.
Record FBX source version, pose edits, binding assumptions, retarget-test clip, publish decision, and known cleanup caveats.
Yes. A re-export can change units, axis, root, armature hierarchy, or rest pose, so it should pass the same acceptance checks before replacing a published target.
Engine import can expose scale, root-motion, loop, humanoid mapping, and contact issues that are not obvious in a browser preview.
Not always. A target that is acceptable for background blocking may need stricter hand, shoulder, contact, and close-camera tests before hero animation use.
Run the same acceptance clips on both, compare root, hips, shoulders, hands, feet, downstream import, and cleanup caveats, then keep the old target until the new one clearly passes.
Continue through this topic cluster to compare output formats, API options, and workflow boundaries.
Upload, bind, test, publish, and reuse avatars.
Prepare clips that reduce retargeting cleanup.
Compare default FBX, custom targets, and robot outputs.
A practical overview of AIMoCap avatar upload, A-pose, skeleton binding, test, publish, and reuse.
Prepare reusable custom avatar targets for AIMoCap so source video can drive your own character workflow.
Publish tested avatars in AIMoCap so future Studio jobs can target the same character without repeating setup.
These related AIMoCap resources document the workflow boundaries, output formats, and implementation details referenced on this page.
