# AcfNet

**Repository Path**: han20121231/AcfNet

## Basic Information

- **Project Name**: AcfNet
- **Description**: This is an implementation for our paper "Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching"
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-06-19
- **Last Updated**: 2021-06-16

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# AcfNet
This repository contains the code (in PyTorch) for "[Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching](https://arxiv.org/abs/1909.03751)", 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](https://github.com/DeepMotionAIResearch/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}
    }