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SpatialCrafter achieves unprecedented 3D consistency in image-to-scene generation, effectively eliminating long-term drift and enhancing detail fidelity.
Robust out-of-distribution transfer is achieved by decoupling demonstration matching from policy learning, allowing robots to generalize effectively to unseen objects.
LMMs can learn to generate images *and* improve their understanding abilities, without catastrophic forgetting, by carefully disentangling and sharing experts within a MoE architecture.
Achieve photorealistic and structurally consistent weather editing for autonomous driving videos without the massive datasets typically required by generative models.
