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Real-time semantic corrections during video generation can drastically enhance visual fidelity and coherence without retraining the model.
NaviCache redefines how we approach computational efficiency in video generation, achieving superior error judgment and performance without the burdens of traditional calibration methods.
Gazer achieves semantic correction in autoregressive visual models without any training, leading to improved output quality and accuracy.
