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DEXTEROUS MANIPULATION

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DexImit

DexImit research team

A pipeline for learning bimanual dexterous manipulation from monocular human videos.

What you can explore

Inspect video annotation, reconstruction, hand alignment and trajectory-generation stages.

Before you use it

Substantial vision dependencies and compute are required. Third-party models have separate terms; availability of code is not a reproduced result.

Original contributors

Juncheng Mu, Sizhe Yang and collaborators

License / access: MIT per project README · bundled models and dependencies have separate terms

Original code & documentation

Editorial reference · checked 2026-09-22

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