Unverified50% confidenceFactExact time
T2M models typically rely on parametric human body models such as SMPL as the motion representation, and during inference the skeletal motion is retargeted to the target 3D model.
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10/28/2026
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UnverifiedThe SMPL model controls human body shape and pose with a small number of parameters and is a mature parametric method in human body reconstruction.74% similarUnverifiedThe output of text-to-motion (T2M) is a time series of joint rotations or displacements rather than pixels, so the model's parameter count can be made relatively small.68% similarUnverifiedOn four datasets, P³-WAM surpasses specialized baseline models on both 3D hand reconstruction and action-conditioned video prediction.63% similarUnverifiedMAMHOI adopts a two-stage pipeline: in the first stage, a scene-conditioned model receives 3D environment input and predicts feasible interaction locations and manners, and in the second stage, an affordance-conditioned HOI model generates the corresponding human-object motion sequences.63% similarUnverifiedThe paper's conclusions can be transferred to downstream humanoid modeling tasks, because the two share the same bottleneck: modeling 'how people move' can be improved quickly with large amounts of repeated human motion data, whereas modeling 'how objects change' requires covering sufficiently diverse object properties, contact geometry, and mechanical outcomes.62% similar
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