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GNM redefines the landscape of head modeling by integrating intricate anatomical details, achieving superior geometric fidelity that existing models overlook.
Polarization-aware differentiable rendering can unlock new dimensions in 3D scene reconstruction by leveraging previously discarded polarization cues.
Cross-modal coupling in generative models can dynamically correct contradictions, leading to superior performance in joint image understanding and generation tasks.
