Update pipeline tag and add paper/project links

README.md

@@ -1,19 +1,22 @@
 ---
-license: mit
 base_model: Wan-AI/Wan2.2-TI2V-5B
 library_name: pytorch
-pipeline_tag: image-to-video
+license: mit
+pipeline_tag: any-to-any
 tags:
-  - 4d
-  - video-generation
-  - depth-estimation
-  - camera-pose-estimation
-  - novel-view-synthesis
-  - world-model
+- 4d
+- video-generation
+- depth-estimation
+- camera-pose-estimation
+- novel-view-synthesis
+- world-model
 ---
 
 # UGG
 
+This model was presented in the paper [UGG: Unified Generative Geometry Model](https://huggingface.co/papers/2611.14440).  
+Project page: https://ugg-model.github.io/
+
 UGG is a video diffusion model that generates RGB, per-frame camera rays and depth together.
 It is built on Wan2.2-TI2V-5B, extended to a mixture of transformers with RGB, ray and depth
 experts (12.6B parameters in total). Whatever subset of the three modalities you supply, the
@@ -67,5 +70,4 @@ safety-critical applications without independent validation.
 ## License
 
 The UGG weights are released under the MIT license. The Wan2.2 base components they rely on
-are distributed by Wan-AI under their own license.
-
+are distributed by Wan-AI under their own license.