From df07fda4ce662691f9239cbad9004155daad47b1 Mon Sep 17 00:00:00 2001
From: Chung_es <44948482+euisuk-chung@users.noreply.github.com>
Date: Tue, 7 Dec 2021 01:04:30 +0900
Subject: [PATCH] Update README.md

---
 README.md | 11 ++++++-----
 1 file changed, 6 insertions(+), 5 deletions(-)

diff --git a/README.md b/README.md
index 8a985d6..33fa5a6 100644
--- a/README.md
+++ b/README.md
@@ -8,34 +8,35 @@ For example :
 - Time Series Data Augmentations
 - Generating Simulations
 
----
-
 ## Model Used
 ### TimeGAN
 
-<img src = 'https://github.com/euisuk-chung/timeseries-generation/blob/main/image/TimeGAN_architecture.PNG?raw=true'>
+<img src = 'https://github.com/euisuk-chung/timeseries-generation/blob/main/image/TimeGAN_architecture.PNG?raw=true' width="500" height="300">
 
 - 코드 작성자 : 박경찬
+- pyTorch implementation for `TimeGAN`
 - Code Reference : https://github.com/d9n13lt4n/timegan-pytorch
 
 ### Variational Recurrent AutoEncoder (VRAE)
 
-<img src = 'https://github.com/euisuk-chung/timeseries-generation/blob/main/image/LSTM_VAE_architecture.png?raw=true'>
+<img src = 'https://github.com/euisuk-chung/timeseries-generation/blob/main/image/LSTM_VAE_architecture.png?raw=true' width="500" height="300">
 
 - 코드 작성자 : 정의석
+- pyTorch implementation for `VRAE`
 - Code Reference : https://github.com/tejaslodaya/timeseries-clustering-vae
 
----
 
 ## How to use
 1. TimeGAN을 이용한 시계열 생성
 
 ```python
 python run_timegan.py
+
 ```
 
 2. VRAE를 이용한 시계열 생성
 
 ```python
 python run_vrae.py
+
 ```