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README.md

@@ -4,7 +4,6 @@ By [Rui Liu](https://ruiliu-ai.github.io), Hanming Deng, Yangyi Huang, Xiaoyu Sh
 
 This repo is the official Pytorch implementation of [FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting](https://arxiv.org/abs/2109.02974).
 
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 ## Introduction
 <img src='imgs/pipeline.png' width="900px">
 
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 python test.py -c checkpoints/fuseformer.pth -v data/DAVIS/JPEGImages/blackswan -m data/DAVIS/Annotations/blackswan
 ```
 
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-Coming soon.
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-## Introduction
-<img src='imgs/pipeline.png' width="900px">
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 ## Citing FuseFormer
 If you find FuseFormer useful in your research, please consider citing:
 ```
@@ -67,9 +59,5 @@ If you find FuseFormer useful in your research, please consider citing:
 }
 ```
 
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 ## Acknowledement
-This code relies heavily on the video inpainting framework from [spatial-temporal transformer net](https://github.com/researchmm/STTN). 
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+This code borrows heavily from the video inpainting framework [spatial-temporal transformer net](https://github.com/researchmm/STTN).