DriveWAM converts video generative priors into a unified video-action policy for driving, reporting strong benchmark performance and positive scaling from 4k to 100k clips.
X-world: Controllable ego-centric multi-camera world models for scalable end-to-end driving.arXiv:2603.19979, 2026
2 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 2representative citing papers
X-Foresight adds a long-horizon chunk-wise auto-regressive world model with temporal importance sampling and curriculum learning to VLA architectures for improved planning and generative fidelity.
citing papers explorer
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DriveWAM: Video Generative Priors Enable Scalable World-Action Modeling for Autonomous Driving
DriveWAM converts video generative priors into a unified video-action policy for driving, reporting strong benchmark performance and positive scaling from 4k to 100k clips.
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X-Foresight: A Joint Vision-Action Causal Forecasting Network via Predictive World Modeling
X-Foresight adds a long-horizon chunk-wise auto-regressive world model with temporal importance sampling and curriculum learning to VLA architectures for improved planning and generative fidelity.