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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.
Injecting optical flow into VLMs lets them spot subtle video transitions that other methods miss, opening the door to more robust video understanding.
