交互式工具，可视化扩散模型的几何演化过程
Diffusion Explorer: Interactive Exploration of Diffusion Models
- 浏览器中训练2D扩散模型，实时观察采样动态
- 通过动态动画展示扩散过程的几何特性
- 适合想理解扩散模型内在机制的研究者
扩散模型是近年来图像、视频乃至文本生成系统的核心。它们具有显著的几何特性，可在低维空间中准确呈现。然而，现有解释资源要么需要深厚的理论基础，要么聚焦于神经网络结构，而非其丰富的几何性质。我们提出 Diffusion Explorer，一个交互式工具，用于解释扩散模型的几何特性。用户可在浏览器中训练2D扩散模型，并观察采样过程的时间演化。该工具利用交互式动画，已被证明是可视化动态系统的重要手段，特别适合解释随时间演化的随机过程。Diffusion Explorer 开源，完整演示可访问 alechelbling.com/Diffusion-Explorer。
原文摘要 · Abstract (English)
Diffusion models have been central to the development of recent image, video, and even text generation systems. They posses striking geometric properties that can be faithfully portrayed in low-dimensional settings. However, existing resources for explaining diffusion either require an advanced theoretical foundation or focus on their neural network architectures rather than their rich geometric properties. We introduce Diffusion Explorer, an interactive tool to explain the geometric properties of diffusion models. Users can train 2D diffusion models in the browser and observe the temporal dynamics of their sampling process. Diffusion Explorer leverages interactive animation, which has been shown to be a powerful tool for making engaging visualizations of dynamic systems, making it well suited to explaining diffusion models which represent stochastic processes that evolve over time. Diffusion Explorer is open source and a live demo is available at alechelbling.com/Diffusion-Explorer.
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