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SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches, CVPR2022

Project README

SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches

[Paper][Project Page][Interactive Demo][Supplementary Material]

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Update

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  • :new: Uploading custom photos are now enabled in the demo

  • :new: Edit face in a fullbody/upper body photo

  • :new: Enable general scenes editing in the demo

  • Exposing predicted mask & mask revising?

Usage

environment

The code only has been tested on Ubuntu 20.04.

GPU is required.

  1. Clone the repo:
git clone --single-branch https://github.com/zengxianyu/sketchedit
git submodule init
git submodule update
  1. Install using the provided docker file Dockerfile or
conda env create -f environment.yml
  1. Switch to the installed environment
conda activate editline

Testing

  1. Download pretrained model
chmod +x download/*
./download/download_model.sh
  1. Use the model trained on CelebAHQ
./test_celeb.sh
  1. Use the model trained on Places
./test_places.sh

Interactive demo

http://47.57.135.203:8001/

Training code and data

Training code and data is coming soon. Star this project to get notified.

Citation

@inproceedings{zeng2022sketchedit,
  title={SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches},
  author={Zeng, Yu and Lin, Zhe and Patel, Vishal M.},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  year={2022}
}

Acknowledgments

Open Source Agenda is not affiliated with "Sketchedit" Project. README Source: zengxianyu/sketchedit

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