Update README.md

README.md

@@ -68,7 +68,7 @@ Number of model parameters: 32.75M
 **Other Properties Related to Output:** 
 The output is not a sequence of 2D images but a set of 3D primitives used to render a scene. For each of the M Gaussians, the key properties are: <br>
 - Position (Mean): A 3D vector (x,y,z) defining the center of the Gaussian in 3D space. <br>
-- Covariance (Shape & Orientation): This defines the ellipsoid's shape and rotation. It's typically stored as a 3D scale vector (s_x ​ ,s_y ​ ,s_z ​ ) and a 4D rotation quaternion (r_w ​ ,r_x ​ ,r_y ​ ,r_z). <br>
+- Covariance (Shape & Orientation): This defines the ellipsoid's shape and rotation. It's typically stored as a 3D scale vector (s_x, s_y, s_z) and a 4D rotation quaternion (r_w, r_x, r_y, r_z). <br>
 - Color: A 3-vector (R,G,B) representing the color of the Gaussian. This can also be represented by more complex Spherical Harmonics (SH) coefficients for view-dependent color effects. <br>
 - Opacity: A scalar value (α) that controls the transparency of the Gaussian.  <br>