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

This is the official implementation for the paper "(Almost) Free Incentivized Exploration from Decentralized Learning Agents" in NeurIPS 2021.

Observe then Incentivize Experiments This is the code used for the paper "(Almost) Free Incentivized Exploration from Decentralized Learning Agents",

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