docs: add resource badges and UniMetric paper details

README.md

@@ -17,11 +17,23 @@ tags:
 
 # MetricBench
 
+[![Official Code](https://img.shields.io/badge/GitHub-Official_Code-181717?logo=github&logoColor=white)](https://github.com/yanglei18/UniMetric)
+[![arXiv Paper](https://img.shields.io/badge/arXiv-2610.16945-B31B1B?logo=arxiv&logoColor=white)](https://arxiv.org/abs/2610.16945)
+[![ModelScope Dataset](https://img.shields.io/badge/ModelScope-MetricBench-624AFF)](https://www.modelscope.ai/datasets/yanglei_thu/MetricBench)
+
 **A benchmark for metric-scale visual geometry across driving, roadside, and embodied scenarios.**
 
-This is the **official MetricBench release** accompanying [UniMetric: Universal Metric Scale Recovery for Visual Geometry Foundation Models](https://arxiv.org/abs/2610.16945). MetricBench brings together **12 dataset subsets, 694 sequences, and 51,339 frames** to evaluate whether predicted depth, 3D structure, and camera motion are accurate in physical units.
+This is the **official MetricBench release** accompanying [UniMetric](https://arxiv.org/abs/2610.16945). MetricBench brings together **12 dataset subsets, 694 sequences, and 51,339 frames** to evaluate whether predicted depth, 3D structure, and camera motion are accurate in physical units.
+
+## Associated paper
+
+**[UniMetric: Universal Metric Scale Recovery for Visual Geometry Foundation Models](https://arxiv.org/abs/2610.16945)**
+
+**Authors:** Lei Yang, Yuner Zhang, Ziyang Liu, Ziying Song, Kai Wu, Yiyang Gao, Jiangtao Su, and Yiming Li.  
+**Publication:** Technical report, 2026 · [arXiv:2610.16945](https://arxiv.org/abs/2610.16945).
+
+UniMetric is a training-free framework that combines uncertain object-size priors from a vision-language model with reconstructed geometry to recover a shared metric scale for visual geometry foundation models. MetricBench is the accompanying benchmark for evaluating metric depth, 3D reconstruction, and camera trajectories.
 
-[Paper](https://arxiv.org/abs/2610.16945) · [Official code & installation](https://github.com/yanglei18/UniMetric) · [ModelScope mirror](https://www.modelscope.ai/datasets/yanglei_thu/MetricBench)
 
 ## Why MetricBench?