Diffusion Explorer: Interactive Exploration of Diffusion Models
This provides an educational resource for making diffusion models more understandable to a broader audience, though it is incremental as it builds on existing visualization techniques.
The authors tackled the problem of explaining the geometric properties of diffusion models, which are often inaccessible due to theoretical complexity or focus on neural architectures, by developing Diffusion Explorer, an interactive tool that allows users to train 2D diffusion models in a browser and observe their sampling dynamics.
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.