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README.md

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 # Text-to-3D Comprehensive Benchmark (T23D-CompBench) 🎥📊
 
-[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)
+[Code](https://github.com/cbysjtu/rank2score_code) · [Project Page](https://cbysjtu.github.io/Rank2Score/) · [Paper Link](https://link.springer.com/article/10.1007/s11263-026-02994-x)· [Paper PDF](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.