Future chunk prediction improves physical plausibility in autoregressive video generation

Authors show that an auxiliary objective to predict temporally separated chunks, without seeing intervening frames, yields better physical plausibility and more structured representations.

Chinese Tech
Ruopeng Gao · Yukun Huang · Jiarui Hu · Shuai Wang · Wenbo Hu · Ying Shan · +1 more

Nanjing University · ARC Lab, Tencent IEG · Zhejiang University

Research Digest··2 min read
The authors introduce Future Chunk Prediction (FCP), an auxiliary objective for training autoregressive video diffusion models.

The authors propose Future Chunk Prediction (FCP), an auxiliary objective jointly optimized with standard teacher-forced denoising in autoregressive video diffusion.

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Research Digest

Written by Alwyn Sage, research editor. Plate by Ollie Flash, picture desk.

first published
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