v0.1

Author: SupermeLC

README.md

@@ -1 +1,43 @@
-# MPGAN
+# MPGAN
+
+Implementation of the paper **Using Simulated Training Data of Voxel-level Generative Model to Improve 3D Neuron Reconstruction**. 
+
+## Introduction
+
+In this paper, we propose a novel strategy of using two-stage generative models to simulate training data with voxel-level labels (MPGAN). Trained upon unlabeled data by optimizing a novel objective function of preserving predefined labels, the models are able to synthesize realistic 3D images with underlying voxel labels. The framework of MPGA7N model is shown as follow:
+
+![image-20220318174040337](imgs/1.png)	
+
+## Getting Started
+
+### Prerequisites
+
+* Linux 
+* NVIDIA GPU
+* TensorFlow
+
+### Installation
+
+Create virtual environment and install required packages:
+
+```
+conda create -n mpgan
+conda activate mpgan
+conda install -r requirements.txt
+```
+
+## Usage
+
+
+
+
+
+## Data
+
+
+
+
+
+
+
+## Reference