One Step Diffusion via Shortcut Models

[00:00] Introduction

[00:23] Computational cost of traditional diffusion models

[00:59] Reducing iterations in image generation

[01:06] Shortcut models

[01:39] Training process and self-consistency property

[02:22] Advantages over other methods

[03:05] Results on image generation benchmarks

[03:45] Application to robotic control

[04:15] Limitations and future work

[04:54] Best practices

Authors: Kevin Frans, Danijar Hafner, Sergey Levine, Pieter Abbeel

Affiliations: UC Berkeley

Abstract: Diffusion models and flow-matching models have enabled generating diverse and realistic…