added skeleton diffusion

Author: DominikMuhle

_data/authors_internal.yaml

@@ -58,4 +58,8 @@ reginehartwig:
 riccardomarin:
   first_name: Riccardo
   last_name: Marin
-  website: https://ricma.netlify.app
+  website: https://ricma.netlify.app
+zhenzhangye:
+  first_name: Zhenzhang
+  last_name: Ye
+  website: https://cvg.cit.tum.de/members/yez

_publications/skeletondiffusion/index.md

@@ -0,0 +1,54 @@
+---
+layout: publications
+permalink: /publications/skeletondiffusion/
+# external_link:  https://ceveloper.github.io/CeciliaCurreli.github.io//publications/skeletondiffusion/
+date: 2024_08_27 # determines sorting just take the date of the first publication as YYYY_MM_DD
+image: /assets/teaser.gif
+# image_mouseover: /assets/header_vid.mp4
+# icon: /assets/favicon.ico
+
+title: "Nonisotropic Gaussian Diffusion for Realistic 3D Human Motion Prediction"
+# venue: preprint
+authors:
+  - name: ceciliacurreli
+    affiliations: "1,2"
+  - name: dominikmuhle
+    affiliations: "1,2"
+  - name: abhisheksaroha
+    affiliations: "1,2"
+  - name: zhenzhangye
+    affiliations: "1"
+  - name: riccardomarin
+    affiliations: "1,2"
+  - name: danielcremers
+    affiliations: "1,2"
+affiliations:
+  - name: tum
+    length: long
+  - name: mcml
+    length: long
+
+
+description: "SkeletonDiffusion is a novel nonisotropic diffusion approach for 3D Human Motion Prediction, and the first computer vision method to show that nonisotropic diffusion leads to unequivocally better performance without computational drawbacks for a structured task. We generate diverse and realistic motions achieving state-of-the-art performance on the Human3.6M and AMASS datasets."
+
+links:
+    - name: Project Page
+      link: https://ceveloper.github.io/publications/skeletondiffusion/
+    - name: Paper
+      link: https://arxiv.org/abs/2501.06035 
+      style: "bi bi-file-earmark-richtext"
+    - name: Code
+      link: https://github.com/Ceveloper/SkeletonDiffusion/tree/main
+      style: "bi bi-github"
+
+citation: '@article{curreli2025nonisotropic,
+  title={Nonisotropic Gaussian Diffusion for Realistic 3D Human Motion Prediction},
+  author={Curreli, Cecilia and Muhle, Dominik and Saroha, Abhishek and Ye, Zhenzhang and Marin, Riccardo and Cremers, Daniel},
+  journal={arXiv preprint arXiv:2501.06035},
+  year={2025},
+  url={https://arxiv.org/abs/2501.06035},
+  eprinttype={arXiv},
+  eprintclass={cv.CV},
+}'
+acknowledgements: 'This work was supported by the ERC Advanced Grant SIMULACRON. Thanks to Dr. Almut Sophia Koepke, Yuesong Shen and Shenhan Qian for the proofreading and feedback, Lu Sang for the discussion, Stefania Zunino and the whole CVG team for the support.'
+---