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Adversarial Gradient Forcing for Robust Few-Step Autoregressive Video Generation
Autoregressive video generation models generate videos sequentially, with each new block conditioned on previously generated blocks. By training on the model's own rollouts, Self Forcing and its follow-up methods substantially mitigate exposure bias caused by the mismatch between training- and infer
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