https://github.com/gabrielmajeri/side-fda
PyTorch reimplementation of the "Single Image Depth Estimation Using Fourier Domain Analysis" paper
https://github.com/gabrielmajeri/side-fda
cvpr2018 depth-estimation pytorch
Last synced: 8 days ago
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PyTorch reimplementation of the "Single Image Depth Estimation Using Fourier Domain Analysis" paper
- Host: GitHub
- URL: https://github.com/gabrielmajeri/side-fda
- Owner: GabrielMajeri
- License: mpl-2.0
- Created: 2019-03-27T05:41:09.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2019-03-29T18:19:49.000Z (over 6 years ago)
- Last Synced: 2025-09-12T00:48:00.988Z (about 1 month ago)
- Topics: cvpr2018, depth-estimation, pytorch
- Language: Python
- Size: 13.7 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
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README
# PyTorch implementation of "Single-Image Depth Estimation Using Fourier Domain Analysis"
## Description
This repository contains an open source implementation of a CVPR 2018 paper
which reconstructs the depth of a scene based on a color image of it.
The paper achieves competitive results by:
- reusing an existing CNN architecture (ResNet-152) and extending it with some new,
specialized convolutional layers
- introducing a new loss function which improves the accuracy of the depth estimation
- running the network on the image and on smaller cropped sections of the image, then
recombining the results using Fourier domain analysis
[cvpr]: http://openaccess.thecvf.com/content_cvpr_2018/papers/Lee_Single-Image_Depth_Estimation_CVPR_2018_paper.pdf
## Implementation details
The original implementation, [available on the authors' site][homepage],
was written in MATLAB and used Caffe.
This implementation is based on the PyTorch library for doing deep learning in Python.
[homepage]: http://mcl.korea.ac.kr/~jaehanlee/depth/index.html
## License
The code in this repository is licensed under the Mozilla Public License Version 2.0,
see the [LICENSE](LICENSE.txt) file for the full text.