/AcfNet

This is an implementation for our paper "Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching"

Primary LanguagePython

AcfNet

This repository contains the code (in PyTorch) for "Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching", accepted in AAAI 2020.

Notes

  • We have provided all modules used in our AcfNet, and it can be directly integrated into our recent released DenseMatchingBenchmark for training.

Requirements:

  • PyTorch1.1+, Python3.5+, Cuda10.0+

Reference:

If you find the code useful, please cite our paper:

@article{zhang2019adaptive,
  title={Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching},
  author={Zhang, Youmin and Chen, Yimin and Bai, Xiao and Zhou, Jun and Yu, Kun and Li, Zhiwei and Yang, Kuiyuan},
  journal={arXiv preprint arXiv:1909.03751},
  year={2019}
}