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Mimicking how the brain integrates language and context with facial cues unlocks state-of-the-art dynamic emotion recognition.
Finally, a feed-forward method can generate realistic, simulation-ready garment patterns directly from single "in-the-wild" images, bypassing the need for multi-view inputs or expensive optimization.
