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@@ -120,8 +120,8 @@ This work introduce ScanObjectNN, a new real-world point cloud object dataset ba
 <br>[VOCASET](https://voca.is.tue.mpg.de/), is a 4D face dataset with about 29 minutes of 4D scans captured at 60 fps and synchronized audio. The dataset has 12 subjects and 480 sequences of about 3-4 seconds each with sentences chosen from an array of standard protocols that maximize  phonetic  diversity. 
 <p align="center"><img width="50%" src="https://github.com/TimoBolkart/voca/blob/master/gif/vocaset.gif" /></p>
 
-<b>3D-FUTURE: 3D FUrniture shape with TextURE (2020(</b> [[Link]](https://tianchi.aliyun.com/specials/promotion/alibaba-3d-future?spm=5176.14208320.0.0.66293cf7asRnrR)
-<br>[VOCASET](https://voca.is.tue.mpg.de/), contains 20,000+ clean and realistic synthetic scenes in 5,000+ diverse rooms, which include 10,000+ unique high quality 3D instances of furniture with high resolution informative textures developed by professional designers. 
+<b>3D-FUTURE: 3D FUrniture shape with TextURE (2020)</b> [[Link]](https://tianchi.aliyun.com/specials/promotion/alibaba-3d-future?spm=5176.14208320.0.0.66293cf7asRnrR)
+<br>[3D-FUTURE](https://tianchi.aliyun.com/specials/promotion/alibaba-3d-future), contains 20,000+ clean and realistic synthetic scenes in 5,000+ diverse rooms, which include 10,000+ unique high quality 3D instances of furniture with high resolution informative textures developed by professional designers. 
 <p align="center"><img width="50%" src="https://img.alicdn.com/tfs/TB1HTSfz4v1gK0jSZFFXXb0sXXa-1999-1037.png" /></p>