update with the journal extension

README.md

@@ -47,8 +47,12 @@ tags:
 
 This is a model card for the `marigold-normals-lcm-v0-1` model for monocular normals estimation from a single image. 
 The model is fine-tuned from the `marigold-normals-v0-1` [model](https://huggingface.co/prs-eth/marigold-normals-v0-1) 
-using the latent consistency distillation method, as described in 
-<span style="color:red;">a follow-up of our [CVPR'2024 paper](https://arxiv.org/abs/2312.02145) titled "Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation".</span>
+using the latent consistency distillation method, as 
+described in our papers:
+- [CVPR'2024 paper](https://arxiv.org/abs/2312.02145) titled "Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation"
+- [Jounal extension](https://www.arxiv.org/abs/2505.09358) titled "Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis"
+
+### Using the model
 
 - Play with the interactive [Hugging Face Spaces demo](https://huggingface.co/spaces/prs-eth/marigold-normals): check out how the model works with example images or upload your own.
 - Use it with [diffusers](https://huggingface.co/docs/diffusers/using-diffusers/marigold_usage) to compute the results with a few lines of code.
@@ -69,13 +73,20 @@ using the latent consistency distillation method, as described in
 - **Resources for more information:** [Project Website](https://marigoldcomputervision.github.io/), [Paper](https://arxiv.org/abs/2312.02145), [Code](https://github.com/prs-eth/marigold).
 - **Cite as:**
 
-<span style="color:red;">Placeholder for the citation block of the follow-up paper</span>
-
 ```bibtex
+@misc{ke2025marigold,
+  title={Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis},
+  author={Bingxin Ke and Kevin Qu and Tianfu Wang and Nando Metzger and Shengyu Huang and Bo Li and Anton Obukhov and Konrad Schindler},
+  year={2025},
+  eprint={2505.09358},
+  archivePrefix={arXiv},
+  primaryClass={cs.CV}
+}
+
 @InProceedings{ke2023repurposing,
-      title={Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation},
-      author={Bingxin Ke and Anton Obukhov and Shengyu Huang and Nando Metzger and Rodrigo Caye Daudt and Konrad Schindler},
-      booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
-      year={2024}
+  title={Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation},
+  author={Bingxin Ke and Anton Obukhov and Shengyu Huang and Nando Metzger and Rodrigo Caye Daudt and Konrad Schindler},
+  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
+  year={2024}
 }
 ```