Diffusion Transformer World-Action Model for AV Scene Prediction

arXiv:2606. 12987v1 Announce Type: cross Abstract: Action-conditioned world models let an autonomous vehicle predict future camera scenes from its own planned controls, enabling planning and simulation without real-world rollouts, but at compact, trainable scale the futures are ambiguous and the field's standard distortion metrics actively mislead: they reward a blurry regression mean over a realistic prediction.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv AI.

• llms
• agents
• diffusion
• benchmarks