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Same controls a masking-based prediction-invariance discrepancy during dataset-level self-supervised training. LoTA-N
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Local interaction control in self-supervised denoising can dramatically enhance performance, revealing hidden regional dynamics that traditional methods overlook.
UnityShots achieves unprecedented cross-shot coherence in multi-shot video generation, outperforming open-source benchmarks and rivaling top closed-source systems.
Optimizing data mixtures through gradient descent can drastically reduce training costs and improve model performance without the need for extensive simulations.
