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Achieving state-of-the-art performance in 3D perception tasks, GeoUP reveals that integrating geometry-grounded representations can significantly enhance autonomous driving systems.
Despite advances in MLLMs, they still struggle with dynamic reasoning, falling far short of human capabilities in interpreting continuous visual cues.
TopoGPT achieves a remarkable leap in lane topology reasoning, producing geometrically consistent lane graphs that outperform existing methods by substantial margins.
Pruning 90% of visual tokens without sacrificing performance could revolutionize the efficiency of 3D scene understanding in multimodal models.
Latent reasoning can beat explicit Chain-of-Thought – but only if you force it to learn causal dynamics via a visual world model, not just language.
Training a single point cloud encoder across diverse 3D domains not only improves perception but also unlocks emergent behaviors and enhances robotic manipulation and spatial reasoning.
