Update README.md

README.md

@@ -8,6 +8,14 @@ base_model:
 pipeline_tag: image-text-to-text
 ---
 
+# Describe Anything
+
+**NVIDIA, UC Berkeley, UCSF**
+
+[Long Lian](https://tonylian.com), [Yifan Ding](https://research.nvidia.com/person/yifan-ding), [Yunhao Ge](https://gyhandy.github.io/), [Sifei Liu](https://sifeiliu.net/), [Hanzi Mao](https://hanzimao.me/), [Boyi Li](https://sites.google.com/site/boyilics/home), [Marco Pavone](https://research.nvidia.com/person/marco-pavone), [Ming-Yu Liu](https://mingyuliu.net/), [Trevor Darrell](https://people.eecs.berkeley.edu/~trevor/), [Adam Yala](https://www.adamyala.org/), [Yin Cui](https://ycui.me/)
+
+[[Paper](https://arxiv.org/abs/2504.16072)] | [[Code](https://github.com/NVlabs/describe-anything)] | [[Project Page](https://describe-anything.github.io/)] | [[Video](https://describe-anything.github.io/#video)] | [[HuggingFace Demo](https://huggingface.co/spaces/nvidia/describe-anything-model-demo)] | [[Model/Benchmark/Datasets](https://huggingface.co/collections/nvidia/describe-anything-680825bb8f5e41ff0785834c)] | [[Citation](#citation)]
+
 # Model Card for DAM-3B
 
 ## Description
@@ -58,4 +66,16 @@ PyTorch
 ## Ethical Considerations
 NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications.  When downloaded or used in accordance with our terms of service, developers should work with their internal model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.   
 
-Please report security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).
+Please report security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).
+
+# Citation
+If you use our work or our implementation in this repo, or find them helpful, please consider giving a citation.
+
+```
+@article{lian2025describe,
+  title={Describe Anything: Detailed Localized Image and Video Captioning}, 
+  author={Long Lian and Yifan Ding and Yunhao Ge and Sifei Liu and Hanzi Mao and Boyi Li and Marco Pavone and Ming-Yu Liu and Trevor Darrell and Adam Yala and Yin Cui},
+  journal={arXiv preprint arXiv:2504.16072},
+  year={2025}
+}
+```