ProAR turns autoregressive video models into goal-oriented prospective reasoners
muhao_chen · x · 2026-10-06
- ProAR reframes autoregressive video generation as a goal-oriented reasoning process rather than reactive next-chunk prediction.
- Two mechanisms: goal-frame prediction integrated into the AR loop via an asymmetric attention mask, and future representation self-alignment that aligns current hidden states with clean future representations extracted in one forward pass via teacher forcing.
- The framework combines sparse explicit target supervision with dense step-wise implicit guidance for coherent, goal-directed generation.
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