metadata
license: mit
pipeline_tag: unconditional-image-generation
Adversarial Flow Models
This repository contains the official checkpoints for the paper Adversarial Flow Models.
Adversarial Flow Models is a class of generative models that unifies Adversarial Models and Flow Models. This repository contains the pre-trained ImageNet-256px models described in the paper.
- GitHub Repository: ByteDance-Seed/Adversarial-Flow-Models
- Paper: Adversarial Flow Models
Usage
Code and instructions for generation and training are available in the official GitHub repository.
Repository Content
models/contains pre-trained ImageNet-256px checkpoints.eval/contains pre-generated 50k samples for evaluations following ADM npz format.misc/contains VAE and other checkpoints used in training.
Citation
@article{lin2025adversarial,
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}
}