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ProPose not only bridges the gap in pose estimation for diverse limb types but also enhances accuracy for long-tail prosthetic joints through innovative structure-aware loss functions.
Existing 3D human mesh recovery systems fall apart for individuals with limb loss, but ResiHMR explicitly reconstructs residual-limb surfaces and performs topology-adaptive optimization, opening the door to more inclusive and accurate human modeling.
