Diffusion-Based mmWave Radar Point Cloud Enhancement Driven by Range Images

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这篇工作首先强调：Millimeter-wave (mmWave) radar has attracted significant attention in robotics and autonomous driving due to its robustness in harsh environments.

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理论线索

方法线上更接近 Diffusion / 检索增强 / 几何/深度估计。Traditional mmWave radar enhancement approaches often struggle to leverage the effectiveness of diffusion models in super-resolution, largely due to the unnatural range-azimuth heatmap (RAH) or bird's eye view (BEV) representation.