Google Research demystifies diffusion model creativity
A study shows diffusion model creativity arises from neural networks learning a smoothed score function, driving interpolation between training data points. The work, presented at ICLR 2026, mathematically explains how models generate novel data rather than memorizing the training set.
Featured · Zhengdao Chen
1 source
Google DeepMind by email
Get an email when Google DeepMind has news
No news that day, no email.
More stories today
- Skeptic shares first impressions of ChatGPT Plus
- Hard sci-fi authors largely oppose LLMs, survey finds
- Anthropic tests folderless Claude Code sessions on Desktop and iOS
- Ethan Mollick: Using weaker AI for human-facing content may soon be disrespectful
- Pocket TTS training stack open-sourced