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LLMs can effectively decompose interactions into phases and roles, but struggle to generate dynamic, realistic motion without a structured approach.
FLUX3D achieves unprecedented fidelity in 3D Gaussian generation by effectively aligning 2D image tokens with sparse 3D voxel latents.
Robots can now better reason about their environment and plan actions by maintaining a persistent, action-updated belief state across control chunks, even when visual updates are infrequent.
