ReWorld: An Interactive World Model with Long-Horizon Memory

TongyiLab (Alibaba)

Research official + media 2 src. ~1 min

Interactive video world model that separates short-horizon control from unbounded memory during training and bounds them at inference. Mixed per-head attention routes most heads to recent past while a few global heads attend over full history; a fixed-budget pose-indexed landmark KV cache keeps the entire past inside a constant memory budget; distribution-matching distillation in a LoRA adapter compresses sampling to 4 steps. Streams 704x1280 video in real time.

Why it matters

On 64-second out-and-back rollouts, a fixed 12-chunk cache regenerates the starting view where sliding windows lose evidence and full-KV attention OOMs. Best control fidelity (11.95 deg rotation error) and best generation quality against six recent world-model baselines.

Importance: 2/5

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Sources

official arXiv abstract