diff --git a/README.md b/README.md
index 0dcc8d5..742e25f 100644
--- a/README.md
+++ b/README.md
@@ -267,3 +267,17 @@ sh slurm_test.sh {JOB_NAME} {NUM_GPU} {TRAIN_OUTPUT_DIR} {CKPT_ID}
     year={2023}
 }
 ```
+
+## Explore More [SMPLCap](https://github.com/SMPLCap) Projects
+
+- [arXiv'25] [SMPLest-X](https://github.com/SMPLCap/SMPLest-X): An extended version of [SMPLer-X](https://github.com/SMPLCap/SMPLer-X) with stronger foundation models.
+- [ECCV'24] [WHAC](https://github.com/SMPLCap/WHAC): World-grounded human pose and camera estimation from monocular videos.
+- [CVPR'24] [AiOS](https://github.com/SMPLCap/AiOS): An all-in-one-stage pipeline combining detection and 3D human reconstruction. 
+- [NeurIPS'23] [SMPLer-X](https://github.com/SMPLCap/SMPLer-X): Scaling up EHPS towards a family of generalist foundation models.
+- [NeurIPS'23] [RoboSMPLX](https://github.com/SMPLCap/RoboSMPLX): A framework to enhance the robustness of
+whole-body pose and shape estimation.
+- [ICCV'23] [Zolly](https://github.com/SMPLCap/Zolly): 3D human mesh reconstruction from perspective-distorted images.
+- [arXiv'23] [PointHPS](https://github.com/SMPLCap/PointHPS): 3D HPS from point clouds captured in real-world settings.
+- [NeurIPS'22] [HMR-Benchmarks](https://github.com/SMPLCap/hmr-benchmarks): A comprehensive benchmark of HPS datasets, backbones, and training strategies.
+
+