项目作者: youmi-zym

项目描述 :
This is an implementation for our paper "Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching"
高级语言: Python
项目地址: git://github.com/youmi-zym/AcfNet.git
创建时间: 2019-10-21T06:27:12Z
项目社区:https://github.com/youmi-zym/AcfNet

开源协议:

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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:

  1. @article{zhang2019adaptive,
  2. title={Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching},
  3. author={Zhang, Youmin and Chen, Yimin and Bai, Xiao and Zhou, Jun and Yu, Kun and Li, Zhiwei and Yang, Kuiyuan},
  4. journal={arXiv preprint arXiv:1909.03751},
  5. year={2019}
  6. }