Update README.md

README.md

@@ -17,14 +17,14 @@ size_categories:
 
 # Text-to-3D Comprehensive Benchmark (T23D-CompBench) 🎥📊
 
-[Code](https://cbysjtu.github.io/Rank2Score/) · [Project Page](https://cbysjtu.github.io/Rank2Score/) · [Paper@ArXiv](https://cbysjtu.github.io/Rank2Score/) · [Prompt list](https://huggingface.co/datasets/ccccby/T23D-CompBench/blob/main/T23D-CompBench_prompt.json)
+[Code](https://github.com/cbysjtu/rank2score_code) · [Project Page](https://cbysjtu.github.io/Rank2Score/) · [Paper@ArXiv](https://arxiv.org/abs/2509.23841) · [Prompt list](https://huggingface.co/datasets/ccccby/T23D-CompBench/blob/main/T23D-CompBench_prompt.json)
 
 Welcome to the T23D-CompBench dataset! This repository contains around 3,600 textured meshes generated by various models using the [Prompt list](https://huggingface.co/datasets/ccccby/T23D-CompBench/blob/main/T23D-CompBench_prompt.json). These textured meshes have been annotated from twelve evaluation dimensions, including Object Alignment, Attribute Alignment, Interaction Alignment, Overall Alignment, Texture Clarity, Texture Aesthetics, Geometry Loss, Geometry Redundancy, Geometry Roughness, Overall Visual Quality, 3D Authentic, and Overall Quality.
 
 ## Dataset Details 📚
 
-- **Paper:** [Read the Paper](https://cbysjtu.github.io/Rank2Score/)
-- **Code:** [Code](https://cbysjtu.github.io/Rank2Score/) 
+- **Paper:** [Read the Paper](https://arxiv.org/abs/2509.23841)
+- **Code:** [Code](https://github.com/cbysjtu/rank2score_code) 
 - **Prompt List (360 prompts):** [Prompt list](https://huggingface.co/datasets/ccccby/T23D-CompBench/blob/main/T23D-CompBench_prompt.json)
 - **Project Page:** [Project Page](https://cbysjtu.github.io/Rank2Score/)
 - **Models Included in T23D-CompBench dataset:**
@@ -60,6 +60,10 @@ Welcome to the T23D-CompBench dataset! This repository contains around 3,600 tex
 This dataset is based on the text-to-3D generative framework, which utilizes various open-source repositories for textured mesh generation evaluation. If you find this dataset helpful, please consider citing the original work:
 
 ```bash
-@article{xx
+@article{cui2025towards,
+title={Towards Fine-Grained Multi-Dimensional Text-to-3D Quality Assessment: A Database and A Two-Stage Rank-Learning Metric},
+author={Bingyang Cui, Yujie Zhang, Qi Yang, Zhu Li, and Yiling Xu},
+journal={arXiv preprint arXiv:2509.23841},
+year={2025}
 }
 ```