add paper

Signed-off-by: Can-Zhao <[email protected]>

Author: Can-Zhao

generation/maisi/README.md

@@ -6,6 +6,13 @@ This example demonstrates the applications of training and validating NVIDIA MAI
 - A Foundation Diffusion model that can generate large CT volumes up to 512 × 512 × 768 size, with flexible volume size and voxel size
 - A ControlNet to generate image/mask pairs that can improve downstream tasks, with controllable organ/tumor size
 
+More details can be found in our WACV 2025 paper: 
+[Guo, P., Zhao, C., Yang, D., Xu, Z., Nath, V., Tang, Y., ... & Xu, D. (2024). MAISI: Medical AI for Synthetic Imaging. arXiv preprint arXiv:2409.11169](https://arxiv.org/pdf/2409.11169)
+
+Welcome to try our GUI demo at [https://build.nvidia.com/nvidia/maisi](https://build.nvidia.com/nvidia/maisi).
+The GUI is only a demo for toy examples. This Github repo is the full version.
+
+
 ## Minimum GPU requirement
 For image size equal or smaller than 512x512x128, the minimum GPU memory for training and inference is 16G.