[Update] Readme

README.md

@@ -24,7 +24,7 @@ pipeline_tag: text-to-image
 
 **DrUM** enables **personalized text-to-image (T2I) generation by integrating reference prompts** into T2I diffusion models. It works with **foundation T2I models such as Stable Diffusion v1/v2/XL/v3 and FLUX**, without requiring additional fine-tuning. DrUM leverages **condition-level modeling in the latent space using a transformer-based adapter**, and integrates seamlessly with **open-source text encoders such as OpenCLIP and Google T5**.
 
-This repository provides the necessary components to run DrUM for **inference**. For the full source code, training scripts, and detailed documentation, please visit our official **[GitHub repository](https://github.com/Burf/DrUM)** and read the **[research paper](https://openaccess.thecvf.com/content/ICCV2025/papers/Kim_Draw_Your_Mind_Personalized_Generation_via_Condition-Level_Modeling_in_Text-to-Image_ICCV_2025_paper.pdf)**.
+This repository provides the necessary components to run DrUM for **inference**. For the full source code, training scripts, and detailed documentation, please visit our official **[GitHub repository](https://github.com/Burf/DrUM)** and read the **research paper [[iccv](https://openaccess.thecvf.com/content/ICCV2025/papers/Kim_Draw_Your_Mind_Personalized_Generation_via_Condition-Level_Modeling_in_Text-to-Image_ICCV_2025_paper.pdf)] [[supp](https://openaccess.thecvf.com/content/ICCV2025/supplemental/Kim_Draw_Your_Mind_ICCV_2025_supplemental.pdf)] [[arXiv](https://arxiv.org/abs/2508.03481)]**.
 
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