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Achieving stable and accurate alignment of generative 3D models with partial observations could redefine the standards for 3D reconstruction in computer vision.
Preserving skill-level attention structures in MLLMs can dramatically reduce forgetting while adapting to new tasks without relying on replay mechanisms.
