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Parent(s): b405113
Add pipeline tag and improve model card (#1)
Browse files- Add pipeline tag and improve model card (03f0f4f959f7ccf9a4437c33fe25b94d3c406028)
Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>
README.md
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license: cc-by-nc-4.0
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# CylinderDepth
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**CylinderDepth: Cylindrical Spatial Attention for Multi-View Consistent Self-Supervised Surround Depth Estimation**
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[Project Page](https://abualhanud.github.io/CylinderDepthPage/) | [Paper](https://arxiv.org/abs/2511.16428) | [Supplementary Material](https://arxiv.org/src/2511.16428v3/anc/CylinderDepth_supp.pdf) | [Code](https://github.com/abualhanud/CylinderDepth)
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license: cc-by-nc-4.0
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pipeline_tag: depth-estimation
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# CylinderDepth
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**CylinderDepth: Cylindrical Spatial Attention for Multi-View Consistent Self-Supervised Surround Depth Estimation**
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[Project Page](https://abualhanud.github.io/CylinderDepthPage/) | [Paper](https://arxiv.org/abs/2511.16428) | [Supplementary Material](https://arxiv.org/src/2511.16428v3/anc/CylinderDepth_supp.pdf) | [Code](https://github.com/abualhanud/CylinderDepth)
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CylinderDepth is a geometry-guided method for calibrated, time-synchronized multi-camera rigs that predicts dense metric depth. It addresses depth inconsistency across views by extending the receptive field and applying a cylindrical spatial attention mechanism that aggregates features across images according to their distances on a shared cylinder.
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## Citation
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If you find this work useful, please cite our paper:
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```bibtex
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@InProceedings{Abualhanud2026,
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author = {Abualhanud, Samer and Grannemann, Christian and Mehltretter, Max},
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booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops},
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title = {CylinderDepth: Cylindrical Spatial Attention for Multi-View Consistent Self-Supervised Surround Depth Estimation},
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year = {2026},
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note = {Accepted for publication.}
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}
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```
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