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README.md

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+---
+license: other
+pipeline_tag: image-segmentation
+tags:
+- monocular-depth-estimation
+- semantic-segmentation
+- multi-task-learning
+- robotics
+- scene-graph
+- dinov3
+---
+
+# M2H-MX Weights
+
+This repository hosts model-only weights for **M2H-MX: Multi-Task Dense Visual Perception for Real-Time Monocular Spatial Understanding**.
+
+Code and instructions: https://github.com/BavanthaU/m2h_mx
+
+## Artifacts
+
+| Dataset | Variant | File | Paper result |
+| --- | --- | --- | --- |
+| NYUDv2 | M2H-MX-L | `weights/nyudv2/m2h_mx_l_nyudv2_weights.pt` | mIoU 65.60, depth RMSE 0.3800 |
+| NYUDv2 | M2H-MX-B | `weights/nyudv2/m2h_mx_b_nyudv2_weights.pt` | mIoU 61.80, depth RMSE 0.4170 |
+| ScanNet | M2H-MX-L | `weights/scannet/m2h_mx_l_scannet_weights.pt` | ScanNet25k mIoU 76.10, depth RMSE 0.2210; Mono-Hydra++ ATE 6.91 cm |
+| ScanNet | M2H-MX-B | `weights/scannet/m2h_mx_b_scannet_weights.pt` | Base variant artifact |
+| Cityscapes | M2H-MX-L | `weights/cityscapes/m2h_mx_l_cityscapes_weights.pt` | mIoU 82.28, disparity RMSE 3.89 |
+
+These are model-only state dictionaries. They do not include optimizer, scheduler, gradient scaler, or EMA state.
+
+## Download
+
+From the code repository:
+
+```bash
+python3 scripts/download_weights.py --repo-id Bavantha11/m2h-mx
+```
+
+## Citation
+
+```bibtex
+@misc{udugama2026m2hmxmultitaskdensevisual,
+  title={M2H-MX: Multi-Task Dense Visual Perception for Real-Time Monocular Spatial Understanding},
+  author={U. V. B. L. Udugama and George Vosselman and Francesco Nex},
+  year={2026},
+  eprint={2603.29236},
+  archivePrefix={arXiv},
+  primaryClass={cs.CV},
+  url={https://arxiv.org/abs/2603.29236},
+}
+
+@misc{udugama2026monohydrarealtimemonocularscene,
+  title={Mono-Hydra++: Real-Time Monocular Scene Graph Construction with Multi-Task Learning for 3D Indoor Mapping},
+  author={U. V. B. L. Udugama and George Vosselman and Francesco Nex},
+  year={2026},
+  eprint={2605.17661},
+  archivePrefix={arXiv},
+  primaryClass={cs.RO},
+  url={https://arxiv.org/abs/2605.17661},
+}
+```