SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches

Overview

SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches

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

     

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 will be released after the paper is published.

Acknowledgments

Overview of architecture and implementation of TEDS-Net, as described in MICCAI 2021: "TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee TopologyPreservation in Segmentations"

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