Skip to content

reinhardh/supplement_deep_decoder

Repository files navigation

Deep Decoder

This repository provides code for reproducing the figures in the paper:

``Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks'', by Reinhard Heckel and Paul Hand. Contact: [email protected]

The paper is available online [here].

The deep decoder is a simple image generating deep neural network. The network is untrained, non-convolutional, and under-parameterized, i.e., it generates images from few paramters. The deep decoder enables image compression and solving invere problems:

Installation

The code is written in python and relies on pytorch. The following libraries are required:

  • python 3
  • pytorch
  • numpy
  • skimage
  • matplotlib
  • scikit-image
  • jupyter

The libraries can be installed via:

conda install jupyter

Citation

@article{heckel_deep_2018,
    author    = {Reinhard Heckel and Paul Hand},
    title     = {Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks},
    journal   = {International Conference on Learning Representations},
    year      = {2019}
}

Licence

All files are provided under the terms of the Apache License, Version 2.0.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published