# Generative Modeling via Drifting - One Step Is All You Need

> MIT and Harvard researchers introduce Drifting Models - a new generative paradigm that achieves FID 1.54 on ImageNet 256x256 in a single forward pass, matching 500-step diffusion models. No distillation, no adversarial loss.

Canonical URL: https://kravhal.kcsatish.com/insights/week-14
Edition: Week 07 · April 2026
Tags: Deep Learning, Generative Models, Computer Vision
Reading time: 7 min read

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