diff --git a/docs/notes/tutorial_index.rst b/docs/notes/tutorial_index.rst
index c7b651dfc..65789e6d8 100644
--- a/docs/notes/tutorial_index.rst
+++ b/docs/notes/tutorial_index.rst
@@ -44,14 +44,24 @@ Detailed Tutorials
     * understanding output file format
     * visualizing 3D checkpoints using Omniverse Kaolin App
     * visualizing 3D checkpoints using bundled ``kaolin-dash3d`` commandline utility
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+* `Reconstructing Point Cloud with DMTet <https://github.com/NVIDIAGameWorks/kaolin/blob/master/examples/tutorial/dmtet_tutorial.ipynb>`_: Trains an SDF estimator to reconstruct a mesh from a point cloud covering:
+    * using point clouds data generated with Omniverse Kaolin App
+    * loading point clouds from an USD file.
+    * defining losses and regularizer for a mesh with point cloud ground truth
+    * applying marching tetrahedra
+    * using Timelapse API for 3D checkpoints
+    * visualizing 3D checkpoints using ``kaolin-dash3d``
 
 Simple Recipes
 --------------
 
 * I/O and Data Processing:
     * `usd_kitchenset.py <https://github.com/NVIDIAGameWorks/kaolin/blob/master/examples/tutorial/usd_kitchenset.py>`_: loading multiple meshes from a ``.usd`` file and saving
+    * `spc_from_pointcloud.py <https://github.com/NVIDIAGameWorks/kaolin/blob/master/examples/recipes/dataload/spc_from_pointcloud.py>`_: converting a point cloud to SPC object
+    * `occupancy_sampling.py <https://github.com/NVIDIAGameWorks/kaolin/blob/master/examples/recipes/preprocess/occupancy_sampling.py>`_: computing occupancy function of points in a mesh using ``check_sign``
+    * `spc_basics.py <https://github.com/NVIDIAGameWorks/kaolin/blob/master/examples/recipes/spc/spc_basics.py>`_: showing attributes of an SPC object
+    * `spc_dual_octree.py <https://github.com/NVIDIAGameWorks/kaolin/blob/master/examples/recipes/spc/spc_dual_octree.py>`_: computing and explaining the dual of an SPC octree
+    * `spc_trilinear_interp.py <https://github.com/NVIDIAGameWorks/kaolin/blob/master/examples/recipes/spc/spc_trilinear_interp.py>`_: computing trilinear interpolation of a point cloud on an SPC
 * Visualization:
     * `visualize_main.py <https://github.com/NVIDIAGameWorks/kaolin/blob/master/examples/tutorial/visualize_main.py>`_: using Timelapse API to write mock 3D checkpoints
 
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