Update README.md

README.md

@@ -10,6 +10,9 @@ size_categories:
 
 A large-scale dataset for furniture understanding, featuring **photo-realistic rendered indoor scenes** with **high-quality 3D furniture models**. The dataset contains about 24k indoor images, 170k furniture instances, and 20k unique furniture identities, all rendered by the leading industry-level rendering engines in [Kujiale](https://coohom.com).
 
+This dataset is introduced in our paper:
+[Furnishing Your Room by What You See: An End-to-End Furniture Set Retrieval Framework with Rich Annotated Benchmark Dataset](https://arxiv.org/abs/1911.09299)
+
 ## Key Features
 
 - **Photo-Realistic Rendering**: All indoor scenes are rendered using professional rendering engines, providing realistic lighting, shadows, and textures
@@ -151,9 +154,15 @@ This dataset supports three main benchmarks:
 
 For benchmark details and baselines, please refer to our paper.
 
-## Paper
-This dataset is introduced in our paper:
-[Furnishing Your Room by What You See: An End-to-End Furniture Set Retrieval Framework with Rich Annotated Benchmark Dataset](https://arxiv.org/abs/1911.09299)
+
+## License
+Apache-2.0
+
+## Acknowledgments
+
+- Dataset created by [Kujiale](https://coohom.com)
+- Rendered using the leading interior design platform in [Kujiale](https://coohom.com)
+- Thanks to millions of designers and artists who contributed to the 3D models and designs
 
 If you use this dataset, please cite:
 ```bibtex
@@ -163,13 +172,4 @@ If you use this dataset, please cite:
   journal={arXiv preprint arXiv:1911.09299},
   year={2020}
 }
-```
-
-## License
-Apache-2.0
-
-## Acknowledgments
-
-- Dataset created by [Kujiale](https://coohom.com)
-- Rendered using the leading interior design platform in [Kujiale](https://coohom.com)
-- Thanks to millions of designers and artists who contributed to the 3D models and designs
+```