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WorldClaw can generate expansive, editable 3D worlds from text prompts while maintaining both global coherence and intricate local details.
A single model can now seamlessly generate, understand, and edit 3D content, revolutionizing how we approach multimodal AI tasks.
A cooperative dual-altitude navigation strategy can improve aerial target localization success rates by over 30% while using significantly less adaptation data.
Eliminating decoders in world modeling could revolutionize efficiency in autonomous navigation systems, achieving state-of-the-art performance with less computational overhead.
Unlock controllable 3D asset generation with HY3D-Bench, a meticulously curated and augmented dataset of 375k objects featuring part-level decomposition.
