metadata
license: cc-by-nc-4.0
pipeline_tag: depth-estimation
CylinderDepth
CylinderDepth: Cylindrical Spatial Attention for Multi-View Consistent Self-Supervised Surround Depth Estimation
Project Page | Paper | Supplementary Material | Code
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.
Citation
If you find this work useful, please cite our paper:
@InProceedings{Abualhanud2026,
author = {Abualhanud, Samer and Grannemann, Christian and Mehltretter, Max},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops},
title = {CylinderDepth: Cylindrical Spatial Attention for Multi-View Consistent Self-Supervised Surround Depth Estimation},
year = {2026},
note = {Accepted for publication.}
}