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Answering complex questions about 4D scenes just got a whole lot better: PanopticQuery leverages multi-view semantic consensus to transform noisy, view-dependent predictions into globally consistent 4D interpretations.
Diffusion language models can achieve faster convergence and improved accuracy simply by swapping token-choice routing for expert-choice routing, and further benefit from allocating more compute to early denoising steps.
Explicitly modeling depth in world-action models significantly boosts planning robustness and future prediction quality for autonomous driving.
Finally, AI can generate hour-long videos with consistent characters and backgrounds, thanks to a new framework that nails seamless transitions between shots.
