Update README.md

README.md

@@ -92,6 +92,15 @@ The mini version follows the EquiFashion-DB construction pipeline:
 5. **Packaging**  
    Final JSON manifests (`train.json`, `test.json`, `train_pose.json`) store standardized paths and captions, with all modalities aligned by filename stem.
 
+## References
+
+[1] Xie et al. — HieraFashDiff: Hierarchical Fashion Design with Mu
+[2] Baldrati et al. — Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing (2023)
+[3] Zhang et al. — ARMANI: Part-level Garment-Text Alignment for Unified Cross-Modal Fashion Design (2022)
+[4] Jiang et al. — Text2Human: Text-Driven Controllable Human Image Generation (2022)
+[5] Rostamzadeh et al. — Fashion-Gen: The Generative Fashion Dataset and Challenge (2018)
+[6] Yang et al. — Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards (2020)
+
 ## Usage
 
 ```python