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[PRLETTERS 2023] CGFNet: 3D Convolution Guided and Multi-scale Volume Fusion Network for fast and robust stereo matching.

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CGFNet

Wang, Q., Xing, H., Ying, Y., & Zhou, M. (2023). CGFNet: 3D Convolution Guided and Multi-scale Volume Fusion Network for fast and robust stereo matching. Pattern Recognition Letters.

Datasets:

Scene Flow

KITTI 2012 and KITTI 2015

Middlebury

ETH3D

Network Architecture:

Benchmark Results:

Acknowledgements:

Part of the code is adopted from the related studies: BGNet, ACVNet, and GwcNet.

We would like to thank the original authors for their awesome contributions.

To cite this paper:

@article{wang2023cgfnet,
  title={CGFNet: 3D Convolution Guided and Multi-scale Volume Fusion Network for fast and robust stereo matching},
  author={Wang, Qingyu and Xing, Hao and Ying, Yibin and Zhou, Mingchuan},
  journal={Pattern Recognition Letters},
  year={2023},
  publisher={Elsevier}
}

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[PRLETTERS 2023] CGFNet: 3D Convolution Guided and Multi-scale Volume Fusion Network for fast and robust stereo matching.

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