Skip to content

Eglcr: Edge Structure Guidance and Scale Adaptive Attention for Iterative Stereo Matching(ACM MM24)

Notifications You must be signed in to change notification settings

kangarooCV/Eglcr

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Eglcr

Eglcr: Edge Structure Guidance and Scale Adaptive Attention for Iterative Stereo Matching

Create a virtual environment and activate it.

conda create -n EGLCR python=3.8
conda activate EGLCR

Dependencies

conda install pytorch torchvision torchaudio cudatoolkit=11.7 -c pytorch -c nvidia
conda activate EGLCR

pip install opencv-python
pip install scikit-image
pip install tensorboard
pip install matplotlib 
pip install tqdm
pip install timm==0.5.4

Citation

If you find our work useful in your research, please consider citing our paper:

@inproceedings{dai2024eglcr,
  title={Eglcr: Edge Structure Guidance and Scale Adaptive Attention for Iterative Stereo Matching},
  author={Dai, Zhien and Tang, Zhaohui and Zhang, Hu and Tian, Can and Pan, Mingjun and Xie, Yongfang},
  booktitle={Proceedings of the 32nd ACM International Conference on Multimedia},
  pages={4197--4206},
  year={2024}
}

Acknowledgements

This project is based on RAFT-Stereo, and CoEx. We thank the original authors for their excellent works.

About

Eglcr: Edge Structure Guidance and Scale Adaptive Attention for Iterative Stereo Matching(ACM MM24)

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages