Updated readme.

README.md

@@ -1,6 +1,7 @@
 # RapidPoseTriangulation
 
-Fast triangulation of multiple persons from multiple camera views.
+Fast triangulation of multiple persons from multiple camera views. \
+A general overview can be found in the paper [RapidPoseTriangulation: Multi-view Multi-person Whole-body Human Pose Triangulation in a Millisecond](https://arxiv.org/pdf/2503.21692).
 
 <div align="center">
     <img src="media/2d-k.jpg" alt="2D detections"" width="65%"/>
@@ -47,6 +48,10 @@ Fast triangulation of multiple persons from multiple camera views.
   ./run_container.sh
   ```
 
+- Download _ONNX_ models from [model registry](https://gitlab.com/Percipiote/RapidPoseTriangulation/-/ml/models) and save them to `mmdeploy/extras/exports/`.
+  Upon the first usage, they will be converted to _TensorRT_ models, which will take a few minutes. \
+  (Note that this conversion is not deterministic and will each time result in slightly different models and therefore also slightly different benchmark results.)
+
 - Build triangulator:
 
   ```bash
@@ -96,3 +101,19 @@ Fast triangulation of multiple persons from multiple camera views.
 - For usage in combination with ROS2 see [ros](extras/ros/README.md) directory.
 
 - Running on a Nvidia Jetson is also possible with [jetson](extras/jetson/README.md) directory.
+
+<br>
+
+## Citation
+
+Please cite [RapidPoseTriangulation](https://arxiv.org/pdf/2503.21692) if you found it helpful for your research or business.
+
+```bibtex
+@article{
+  rapidtriang,
+  title={{RapidPoseTriangulation: Multi-view Multi-person Whole-body Human Pose Triangulation in a Millisecond}},
+  author={Bermuth, Daniel and Poeppel, Alexander and Reif, Wolfgang},
+  journal={arXiv preprint arXiv:2503.21692},
+  year={2025}
+}
+```