adding citations for all pubs

_papers/2020_asset.md

@@ -16,4 +16,16 @@ links:
 - name: Code
   type: github
   url: https://github.com/ZPdesu/lsaa-dataset
+citation: 
+  linkname: panoramic
+  text: >
+    @article{Zhu2020Panoramic,
+        title = {Large Scale Architectural Asset Extraction from Panoramic Imagery},
+        author = {Zhu, Peihao and Para, Wamiq and Fr{\"u}hst{\"u}ck, Anna and Femiani, John and Wonka, Peter},
+        journal = {IEEE Transactions in Visualization and Computer Graphics (TVCG)},
+        year={2020},
+        volume={28},
+        number={2},
+        pages={1301-1316},
+    }
 ---

_papers/2022_insetgan.md

@@ -27,4 +27,15 @@ links:
 - name: arXiv
   type: arxiv 
   url: 'https://arxiv.org/abs/2203.07293'
+citation: 
+  linkname: insetGAN
+  text: >
+    @inproceedings{Fruehstueck2022InsetGAN,
+        title = {InsetGAN for Full-Body Image Generation},
+        author = {Fr{\"u}hst{\"u}ck, Anna and Singh, {Krishna Kumar} and Shechtman, Eli and Mitra, {Niloy J.} and Wonka, Peter and Lu, Jingwan},
+        booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR)},
+        month = {June},
+        year = {2022},
+        pages = {7723-7732}
+    }
 ---

_papers/2022_robustness.md

@@ -21,4 +21,14 @@ links:
 - name: Code
   type: github
   url: https://github.com/MotasemAlfarra/R-FID-Robustness-of-Quality-Measures-for-GANs
+citation: 
+  linkname: robustness
+  text: >
+    @inproceedings{Alfarra2022Robustness,
+        title = {On the Robustness of Quality Measures for {GANs}},
+        author = {Alfarra, Motasem and P{\'e}rez, Juan C and Fr{\"u}hst{\"u}ck, Anna and Torr, Philip HS and Wonka, Peter and Ghanem, Bernard},
+        booktitle = {European Conference on Computer Vision (ECCV)},
+        pages = {18--33},
+        year = {2022}
+    }
 ---

_papers/2023_vive3d.md

@@ -26,4 +26,13 @@ links:
 - name: arXiv
   type: arxiv 
   url: 'https://arxiv.org/abs/2303.15893'
+citation: 
+  linkname: VIVE3D
+  text: >
+    @inproceedings{Fruehstueck2023VIVE3D,
+        title = {{VIVE3D}: Viewpoint-Independent Video Editing using {3D}-Aware {GANs}},
+        author = {Fr{\"u}hst{\"u}ck, Anna and Sarafianos, Nikolaos and Xu, Yuanlu and Wonka, Peter and Tung, Tony},
+        booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR)},
+        year = {2023}
+    }
 ---

_papers/2024_intrinsicdiffusion.md

@@ -18,13 +18,14 @@ links:
  - name: PDF
    type: pdf
    url: https://richardt.name/publications/IntrinsicDiffusion/LuoEtAl-IntrinsicDiffusion-SIGGRAPH2024.pdf
-# - name: Supplementary PDF
-#   type: pdf
-#   localurl: assets/data/VIVE3D_CVPR2023_supp.pdf
-# - name: Code
-#   type: github
-#   url: 'http://github.com/afruehstueck/VIVE3D'
-# - name: Video
-#   type: youtube 
-#   url: 'https://youtu.be/qfYGQwOw8pg'
+citation: 
+  linkname: intrinsicDiffusion
+  text: >
+    @inproceedings{Luo2024IntrinsicDiffusion,
+        author    = {Luo, Jundan and Ceylan, Duygu and Yoon, Jae Shin and Zhao, Nanxuan and Philip, Julien and Fr{\"u}hst{\"u}ck, Anna and Li, Wenbin and Richardt, Christian and Wang, Tuanfeng Y.},
+        title     = {{IntrinsicDiffusion}: Joint Intrinsic Layers from Latent Diffusion Models},
+        booktitle = {SIGGRAPH 2024 Conference Papers},
+        year      = {2024},
+        doi       = {10.1145/3641519.3657472},
+    }
 ---

_papers/2024_supergaussian.md

@@ -19,16 +19,19 @@ links:
 - name: Code
   type: github
   url: 'https://github.com/adobe-research/SuperGaussian'
-# - name: Supplementary PDF
-#   type: pdf
-#   localurl: assets/data/VIVE3D_CVPR2023_supp.pdf
-# - name: Code
-#   type: github
-#   url: 'http://github.com/afruehstueck/VIVE3D'
 - name: Video
   type: youtube 
   url: 'https://www.youtube.com/watch?v=K8hTOjBdwRM'
 - name: arXiv
   type: arxiv 
   url: 'https://arxiv.org/abs/2406.00609'
+citation: 
+  linkname: superGaussian
+  text: >
+    @inproceedings{Shen2024SuperGaussian,
+        title = {{SuperGaussian}: Repurposing Video Models for 3D Super Resolution},
+        uthor = {Shen, Yuan and Ceylan, Duygu and Guerrero, Paul and Xu, Zexiang and Mitra, {Niloy J.} and Wang, Shenlong and Fr{\"u}hst{\"u}ck, Anna},
+        booktitle = {European Conference on Computer Vision (ECCV)},
+        year = {2024},
+    }
 ---