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
Editorial reference · checked 2026-09-22