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GROME is introduced, a novel factorized memory framework that augments video world models for long-horizon coherence across both static scenes and dynamic entities and readily accommodates external observations as plug-and-play memory, unlocking flexible and controllable video continuation and scene exploration.
Autoregressive video generation relies on memory retrieval to model long-range dependencies. This capability becomes particularly critical for multi-shot generation, where models must reconcile substantial visual changes across shot transitions with persistent semantic continuity. Existing methods tend to perform memor...
PerceptionBench provides a capability-level standard for measuring and diagnosing the visual perception boundaries of MLLMs, by diagnosing the earliest failure points in the responses of frontier MLLMs across 42 existing benchmarks and constructing an error taxonomy whose perception branch defines ten atomic perceptual...
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