Reformatted readme

README.md

@@ -9,8 +9,7 @@ This is the corresponding code to the above paper ("Self-supervised Learning of
 Applications") which is published at the International Conference on Robotics and Automation (ICRA) 2021. The code is
 provided by the [Robotics Systems Lab](https://rsl.ethz.ch/) at ETH Zurich, Switzerland.
 
-**
-Authors:** [Julian Nubert](https://juliannubert.com/) ([[email protected]](mailto:[email protected]?subject=[GitHub]))
+**Authors:** [Julian Nubert](https://juliannubert.com/) ([[email protected]](mailto:[email protected]?subject=[GitHub]))
 , Shehryar Khattak, Marco Hutter
 
 ![title_img](images/title_img.png)
@@ -242,4 +241,4 @@ and [./pip/requirements.txt](./pip/requirements.txt).
 If the result does not achieve the desired performance, please have a look at the normal estimation, since the loss is
 usually dominated by the plane-to-plane loss, which is impacted by noisy normal estimates. For the results presented in
 the paper we picked some reasonable parameters without further fine-tuning, but we are convinced that less noisy normal
-estimates would lead to an even better convergence.
+estimates would lead to an even better convergence.