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Bridging the gap between surface-centric visual geometry priors and volumetric occupancy prediction, GPOcc++ sets a new standard for 3D scene understanding in dynamic environments.
Correcting surrogate-specific bias in adversarial optimization can dramatically enhance the transferability of attacks across Vision-Language models.
Achieve state-of-the-art open-vocabulary occupancy prediction without any training data, outperforming supervised and self-supervised methods by a large margin.
