Author

Xiaoming Liu

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Preprint Aug 2026

RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection

Monocular 3D object detection spans two regimes: closed-set detectors operating within a fixed category vocabulary, and open-vocabulary detectors that localize arbitrary categories by leveraging depth foundation models for 3D geometry. We find that current depth foundation models, despite their strong zero-shot general...

Zhihao Zhang, Geng-Wei Zhang, Tianlong Chen et al. · 0 citations

Preprint Jul 2026

Geometric Distillation from Rectified Stereo: Leveraging Epipolar Cues for Monocular Depth

Monocular depth foundation models have demonstrated remarkable generalization capabilities across diverse environments. However, they continue to struggle with metric depth estimation in diverse environments. This limitation stems from the inherent scale ambiguity of single-view inference, leading to misaligned scale p...

Jung-Hee Kim, Xiaoming Liu · 0 citations