[ACM MM 2021] Yes, "Attention is All You Need", for Exemplar based Colorization

Related tags

Deep Learning transformer-for-image-colorization
Overview

Transformer for Image Colorization

This is an implemention for Yes, "Attention Is All You Need", for Exemplar based Colorization, and the current software works well with PyTorch 1.5.1.

Table of Contents

Prerequisites

  • Ubuntu 16.04
  • Python 3.6.10
  • CPU or NVIDIA GPU + CUDA CuDNN

Getting Started

Installation

  • Clone this repo:
git clone https://github.com/wangyin-cv/transformer-for-image-colorization
cd transformer-for-image-colorization
pip install requriments.txt
  • Download model weights from [Google Drive] to obtain "checkpoints_acmmm2021.zip"
mkdir -p checkpoints/imagenet/
cd checkpoints/imagenet/
unzip checkpoints_acmmm2021.zip

Testing

sh test.sh

Citation

If you use this code for your research, please cite our papers.

@inproceedings{yin_mm2021,
  title={Yes, "Attention Is All You Need", for Exemplar based Colorization},
  author={yin, Wang and Lu, Peng and Zhao, ZhaoRan and Peng, XuJun},
  booktitle={Proceedings of the 29th ACM International Conference on Multimedia},
  year={2021}
}
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Comments
  • Two Questions

    Two Questions

    Dear friend, Thanks for your good job ! Now we have two questions, hope to get your help: 1) What's the meaning for "ab_constant_filter.npy", "weight_index.npy" ? How to create them from source ? 2) Where can we got the beautiful target and reference images of paper ? Would your like to share us ? Best Regards,

    opened by delldu 1
  • Unable to install requirements

    Unable to install requirements

    Hi, while trying to install the requirements with pip, it seems there are several yanked releases in the requirements.txt (mostly in the mkl libraries). Can I check if the current requirements.txt is updated?

    opened by jlinjy 2
Owner
Wang Yin
Wang Yin
GitHub
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