Autoregressive video diffusion models generate videos chunk by chunk, but producing plausible continuations does not guarantee capturing scene evolution. Future Chunk Prediction (FCP), an auxiliary objective jointly optimized with teacher-forced denoising, predicts temporally separated chunks without access to intervening visual context.
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The FCP method may improve modeling of visual evolution by predicting future chunks without intermediate context.
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