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Existing image-to-image evaluations miss a critical aspect: whether the output image actually preserves the content of the input.
By cleverly anchoring diffusion sampling near plausible solutions and adding a lightweight residual correction, AnchorVLA achieves robust mobile manipulation with significantly reduced inference costs.
