Generating coherent sets of images (independent research). Spring → Summer 2024
Imagine being able to generate images with defined relationships. For example, where image A relates to image B, B to C and D, D to E, …; in other words, a graph structure. By passing diffusion noise updates along graph edges, we can generate sets of images that are related to eachother in predefined ways. Exploration in this direction yields insights into how image generation latents can be combined, and whether their combination yields semantically meaningful results.
