diff --git a/projects/rtmpose/README.md b/projects/rtmpose/README.md
index 46b5963068..db658bc4fa 100644
--- a/projects/rtmpose/README.md
+++ b/projects/rtmpose/README.md
@@ -1279,3 +1279,14 @@ If you find RTMPose useful in your research, please consider cite:
     year={2020}
 }
 ```
+
+if you used the whole-body model RTMW, please also cite:
+
+```bibtex
+@article{jiang2024rtmw,
+  title={RTMW: Real-Time Multi-Person 2D and 3D Whole-body Pose Estimation},
+  author={Jiang, Tao and Xie, Xinchen and Li, Yining},
+  journal={arXiv preprint arXiv:2407.08634},
+  year={2024}
+}
+```
diff --git a/projects/rtmpose3d/README.md b/projects/rtmpose3d/README.md
index b8cd0adcda..e8156c18d5 100644
--- a/projects/rtmpose3d/README.md
+++ b/projects/rtmpose3d/README.md
@@ -1,5 +1,8 @@
 # RTMPose3D: Real-Time 3D Pose Estimation toolkit based on RTMPose
 
+> ***Technical Report***:
+> [RTMW: Real-Time Multi-Person 2D and 3D Whole-body Pose Estimation](https://arxiv.org/abs/2407.08634)
+
 ## Abstract
 
 RTMPose3D is a toolkit for real-time 3D pose estimation. It is based on the RTMPose model, which is a 2D pose estimation model that is capable of predicting 2D keypoints and body part associations in real-time. RTMPose3D extends RTMPose by adding a 3D pose estimation branch that can predict 3D keypoints from images directly.
@@ -13,7 +16,7 @@ Please refer to our [technical report](https://arxiv.org/pdf/2407.08634) for mor
 | [RTMW3D-L](./configs/rtmw3d-l_8xb64_cocktail14-384x288.py) |        0.678         |     0.056     | [ckpt](https://download.openmmlab.com/mmpose/v1/wholebody_3d_keypoint/rtmw3d/rtmw3d-l_8xb64_cocktail14-384x288-794dbc78_20240626.pth) |
 | [RTMW3D-X](./configs/rtmw3d-x_8xb32_cocktail14-384x288.py) |        0.680         |     0.057     | [ckpt](https://download.openmmlab.com/mmpose/v1/wholebody_3d_keypoint/rtmw3d/rtmw3d-x_8xb64_cocktail14-384x288-b0a0eab7_20240626.pth) |
 
-## Usage
+## 📚 Usage
 
 👉🏼 TRY RTMPose3D NOW
 
@@ -22,3 +25,23 @@ cd /path/to/mmpose/projects/rtmpose3d
 export PYTHONPATH=$(pwd):$PYTHONPATH
 python body3d_img2pose_demo.py configs/rtmdet_m_640-8xb32_coco-person.py https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmdet_m_8xb32-100e_coco-obj365-person-235e8209.pth configs\rtmw3d-l_8xb64_cocktail14-384x288.py rtmw3d-l_cock14-0d4ad840_20240422.pth --input /path/to/image --output-root /path/to/output
 ```
+
+## 📜 Citation [🔝](#-table-of-contents)
+
+If you find RTMPose3D toolkit or RTMW3D models useful in your research, please consider cite:
+
+```bibtex
+@article{jiang2024rtmw,
+  title={RTMW: Real-Time Multi-Person 2D and 3D Whole-body Pose Estimation},
+  author={Jiang, Tao and Xie, Xinchen and Li, Yining},
+  journal={arXiv preprint arXiv:2407.08634},
+  year={2024}
+}
+
+@misc{mmpose2020,
+    title={OpenMMLab Pose Estimation Toolbox and Benchmark},
+    author={MMPose Contributors},
+    howpublished = {\url{https://github.com/open-mmlab/mmpose}},
+    year={2020}
+}
+```