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ARDY introduces a streaming generation framework for real-time, high-fidelity 3D human motion generation controlled by text and kinematic constraints, using a hybrid representation and two-stage autoregressive transformer denoiser.
VGGT-Edit proposes a feed-forward framework for text-conditioned native 3D scene editing using depth-synchronized text injection and residual field prediction, achieving superior quality and efficiency over 2D-lifting approaches.