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Avatar V achieves unprecedented avatar video fidelity by directly conditioning on full video references, capturing dynamic behaviors that previous methods missed.
ViTs can achieve robust generalization through adversarial training even when overfitting, mirroring a phenomenon previously observed only in CNNs.
