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README.md

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 # FaceLift: Single Image 3D Face Reconstruction
 
-Huggingface demo for ICCV 2025 paper *FaceLift: Learning Generalizable Single Image 3D Face Reconstruction from Synthetic Heads*.
+**Authors:** Weijie Lyu, Yi Zhou, Ming-Hsuan Yang, Zhixin Shu
+
+**Links:** [Project Page](https://www.wlyu.me/FaceLift/) | [GitHub](https://github.com/weijielyu/FaceLift) | [arXiv](https://arxiv.org/abs/2412.17812)
+
+---
 
-Transform a single portrait image into a complete 3D head model using multi-view diffusion and Gaussian Splatting.
+Huggingface demo for ICCV 2025 paper *FaceLift: Learning Generalizable Single Image 3D Face Reconstruction from Synthetic Heads*.
 
 ## Citation
 
@@ -32,6 +36,8 @@ Transform a single portrait image into a complete 3D head model using multi-view
 
 ## License
 
-This software is free for non-commercial, research and evaluation use under the CC-BY-NC-SA-4.0 license.
+Copyright © 2025, Adobe Inc. and its licensors. All rights reserved.
+
+This software is licensed under the Adobe Research License. You may obtain a copy of the license at [LICENSE.md](https://raw.githubusercontent.com/adobe-research/FaceLift/main/LICENSE.md)
 
-For commercial use inquiries, contact: wlyu3@ucmerced.edu
+For commercial use inquiries, please refer to the license terms.