Research map / Image generation / Fast diffusion sampling
Understanding, Accelerating, and Improving MeanFlow Training
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Mean Flows for One-step Generative Modeling (NeurIPS 2025 · similarity 0.94)
- Improved Mean Flows: On the Challenges of Fastforward Generative Models (CVPR 2026 · similarity 0.92)
- AlphaFlow: Understanding and Improving MeanFlow Models (ICLR 2026 · similarity 0.90)
- Any-step Generation via N-th Order Recursive Consistent Velocity Field Estimation (ICLR 2026 · similarity 0.89)
- MeanCache: From Instantaneous to Average Velocity for Accelerating Flow Matching Inference (ICLR 2026 · similarity 0.88)
- Shortcutting Pre-trained Flow Matching Diffusion Models is Almost Free Lunch (NeurIPS 2025 · similarity 0.86)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
