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This paper introduces Hand Visibility Detector, a dedicated model for per-joint hand visibility estimation, and demonstrates its benefit for multi-view 3D hand pose annotation via visibility-weighted triangulation.
EgoForce is a monocular 3D hand reconstruction framework that uses a unified network with differentiable forearm representation, arm-hand transformers, and ray space solvers to recover absolute hand pose and position across different camera models, achieving state-of-the-art accuracy on egocentric benchmarks.