Record3D docs added to Custom Data docs (#718)

* alex/record3d_docs_add

* alex/record3d_docs_add

* link from dataparsers to custom_dataset added.

* images are now appearing

Co-authored-by: evonneng <evonne_ng@berkeley.edu>

docs/developer_guides/pipelines/dataparsers.md

@@ -145,7 +145,9 @@ See the code!
 
 ###### Record3D
 
-This dataparser can use recorded data from a >= iPhone 12 Pro using the Record3D app. Record a video and export with the `EXR + JPG sequence` format. Unzip export and `rgb` folder before training.
+This dataparser can use recorded data from a >= iPhone 12 Pro using the [Record3D app](https://record3d.app/) . Record a video and export with the `EXR + JPG sequence` format. Unzip export and `rgb` folder before training.
+
+For more information on capturing with Record3D, see the [Custom Dataset Docs](/quickstart/custom_dataset.md).
 
 ```{button-link} https://github.com/nerfstudio-project/nerfstudio/blob/master/nerfstudio/data/dataparsers/record3d_dataparser.py
 :color: primary

docs/quickstart/custom_dataset.md

@@ -107,3 +107,17 @@ cd vcpkg
 
 :::::
 ::::::
+
+## Record3D Capture
+
+Nerfstudio can also be trained directly from >=iPhone 12 Pro captures from the [Record3D app](https://record3d.app/). This uses the iPhone's LiDAR sensors to calculate camera poses, so COLMAP is not needed. 
+
+Record a video and export with the EXR + JPG sequence format. 
+
+<img src="imgs/record_3d_video_selection.png" width=150>
+<img src="imgs/record_3d_export_selection.png" width=150>
+
+Then, move the exported capture folder from your iPhone to your computer.
+```
+ns-train instant-ngp record3d-data --data {RECORD3D_CAPTURE_DIR/EXR_RGBD}
+```