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README.md

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----
-license: apache-2.0
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+# MADFormer-FFHQ
+
+**MADFormer: Mixed Autoregressive & Diffusion Transformers for Continuous Image Generation**  
+This repository provides checkpoints for MADFormer trained on **FFHQ-1024**, combining autoregressive global conditioning and diffusion-based local refinement for high-resolution image synthesis.
+
+---
+
+## 📄 Paper
+
+[MADFormer: Mixed Autoregressive & Diffusion Transformers for Continuous Image Generation](https://arxiv.org/abs/2506.07999)
+
+---
+
+## 📦 Checkpoints
+
+- Trained for **210k steps** on FFHQ-1024  
+- Download checkpoint: `ckpts.pt`
+
+---
+
+## 🧪 How to Use
+
+```python
+# TODO
+```
+
+> 💡 MADFormer supports flexible AR↔Diff trade-offs. On FFHQ-1024, increasing AR layer allocation yields up to **75% FID improvements** under low NFE settings.
+
+---
+
+## 📚 Citation
+
+If you find our work useful, please cite:
+
+```bibtex
+@misc{chen2025madformermixedautoregressivediffusion,
+      title={MADFormer: Mixed Autoregressive and Diffusion Transformers for Continuous Image Generation}, 
+      author={Junhao Chen and Yulia Tsvetkov and Xiaochuang Han},
+      year={2025},
+      eprint={2506.07999},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2506.07999}, 
+}
+```
+