ByteDance-Seed/Adversarial-Flow-Models

Adversarial Flow Models

This repository contains the official checkpoins of the paper Adversarial Flow Models.

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.

Usage

Code and instructions are available in the 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.