Update README.md

README.md

@@ -11,6 +11,10 @@ tags:
 
 [TokenCompose_SD21_A](https://mlpc-ucsd.github.io/TokenCompose/) is a [latent text-to-image diffusion model](https://arxiv.org/abs/2112.10752) finetuned from the [**Stable-Diffusion-v2-1**](https://huggingface.co/stabilityai/stable-diffusion-2-1) checkpoint at resolution 768x768 on the [VSR](https://github.com/cambridgeltl/visual-spatial-reasoning) split of [COCO image-caption pairs](https://cocodataset.org/#download) for 32,000 steps with a learning rate of 5e-6. The training objective involves token-level grounding terms in addition to denoising loss for enhanced multi-category instance composition and photorealism. The "_A/B" postfix indicates different finetuning runs of the model using the same above configurations.
 
+# 📄 Paper
+
+Please follow [this](https://arxiv.org/abs/2312.03626) link.
+
 # 🧨Example Usage
 
 We strongly recommend using the [🤗Diffuser](https://github.com/huggingface/diffusers) library to run our model.
@@ -39,4 +43,13 @@ image.save("cat_and_wine_glass.png")
 | TokenCompose (SD21) | 60.10           | 80.48    | 36.69    | 5.71     | 79.51      | 39.59      | 8.13       | 19.15    |
 
 # 📰 Citation
-Coming soon!
+```bibtex
+@misc{wang2023tokencompose,
+      title={TokenCompose: Grounding Diffusion with Token-level Supervision}, 
+      author={Zirui Wang and Zhizhou Sha and Zheng Ding and Yilin Wang and Zhuowen Tu},
+      year={2023},
+      eprint={2312.03626},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV}
+}
+```