InfiniHand estimates hands and camera trajectory together from egocentric video with one streaming feed-forward network, cutting ARCTIC PA-p to 7.72 mm at 11.19 FPS
InfiniHand is an end-to-end streaming feed-forward framework that jointly estimates MANO parameters, camera trajectories, and hand locations directly from uncalibrated egocentric video, trained in two progressive stages on roughly 5,000 hours of aggregated egocentric data; it reduces ARCTIC PA-p by 21.4% versus ViDiHand (9.82 to 7.72 mm), lowers EgoDex W-MPJPE from 78.41 to 28.77 mm versus Dyn-HaMR, and runs at 11.19 FPS, more than twice the throughput of HaWoR.