Update readme

README.md

@@ -4,15 +4,26 @@ license: mit
 
 # Adversarial Flow Models
 
-This repository contains the official checkpoins of the paper [Adversarial Flow Models](https://www.arxiv.org/abs/2511.22475).
-
-Adversarial Flow Models is a class of generative models that unifies Adversarial Models and Flow Models. This repo contains the pretrained ImageNet-256px models in the paper experiment section.
+This repository contains the official assets of [Adversarial Flow Models](https://www.arxiv.org/abs/2511.22475) and [Continuous Adversarial Flow Models](https://arxiv.org/abs/2604.11521).
 
 ## Usage
 
 Code and instructions are available in the [ByteDance-Seed/Adversarial-Flow-Models](https://github.com/ByteDance-Seed/Adversarial-Flow-Models) repository.
 
-## Content 
-* `models/` contains pre-trained ImageNet256px checkpoints.
-* `eval/` contains pre-generated 50k samples for evaluations following ADM npz format.
-* `misc/` contains VAE and other checkpoints used in training.
+## Citation
+
+```bibtex
+@article{afm,
+  title={Adversarial Flow Models},
+  author={Lin, Shanchuan and Yang, Ceyuan and Lin, Zhijie and Chen, Hao and Fan, Haoqi},
+  journal={arXiv preprint arXiv:2511.22475},
+  year={2025}
+}
+
+@article{cafm,
+  title={Continuous Adversarial Flow Models},
+  author={Lin, Shanchuan and Yang, Ceyuan and Lin, Zhijie and Chen, Hao and Fan, Haoqi},
+  journal={arXiv preprint arXiv:2604.11521},
+  year={2026}
+}
+```