{"slug": "mean-flows-for-one-step-generative-modeling-interactive-visual-explainer-rudrite", "title": "Mean Flows for One-step Generative Modeling — interactive visual explainer | Rudrite Research", "summary": "Geng et al. published a paper on arXiv 2025 introducing Mean Flows for one-step generative modeling, which trains on average velocity instead of instantaneous velocity to enable one-step generation from scratch without distillation. An interactive visual explainer of the paper is available online.", "body_md": "# Mean Flows for One-step Generative Modeling\n\nTrain on average velocity, not instantaneous — one-step generation from scratch, no distillation.\n\nGeng et al. · arXiv 2025 · Foundations. [Read the paper ↗](https://arxiv.org/abs/2505.13447)\n\nA free, interactive, animated visual explainer of Mean Flows for One-step Generative Modeling — every exhibit computed from the real formulas, with verbatim quotes from the source.\n\n## Questions\n\n- What is Mean Flows for One-step Generative Modeling?\n- Train on average velocity, not instantaneous — one-step generation from scratch, no distillation.\n- Who published Mean Flows for One-step Generative Modeling, and where?\n- Geng et al. — arXiv 2025 (arXiv:2505.13447).\n- Where can I find a visual explainer of Mean Flows for One-step Generative Modeling?\n- Right here — a free, interactive, animated walkthrough of the whole paper, with exhibits computed from the real formulas and verbatim quotes from the source.\n\n## Related explainers\n\n[Attention Is All You Need](/attention)[GPT-3: Language Models are Few-Shot Learners](/gpt-3)[Mixtral of Experts](/mixtral)[Training Compute-Optimal Large Language Models](/chinchilla)[Mamba: Linear-Time Sequence Modeling with Selective State Spaces](/mamba)[BERT: Pre-training of Deep Bidirectional Transformers](/bert)[Scaling Laws for Neural Language Models](/scaling-laws)[Adam: A Method for Stochastic Optimization](/adam)", "url": "https://wpnews.pro/news/mean-flows-for-one-step-generative-modeling-interactive-visual-explainer-rudrite", "canonical_source": "https://research.rudrite.com/mean-flow", "published_at": "2026-06-15 00:00:00+00:00", "updated_at": "2026-06-15 14:15:59.272894+00:00", "lang": "en", "topics": ["machine-learning", "generative-ai", "ai-research"], "entities": ["Geng et al.", "arXiv"], "alternates": {"html": "https://wpnews.pro/news/mean-flows-for-one-step-generative-modeling-interactive-visual-explainer-rudrite", "markdown": "https://wpnews.pro/news/mean-flows-for-one-step-generative-modeling-interactive-visual-explainer-rudrite.md", "text": "https://wpnews.pro/news/mean-flows-for-one-step-generative-modeling-interactive-visual-explainer-rudrite.txt", "jsonld": "https://wpnews.pro/news/mean-flows-for-one-step-generative-modeling-interactive-visual-explainer-rudrite.jsonld"}}