The main novelty seems to be an extra layer of indirection with the prior network (whether it is an autoregressive transformer or a diffusion network), which predicts an image embedding based on the ...

DYF transforms raw embeddings into navigable semantic maps. Instead of just clustering, it reveals the topology - which regions are dense, which items bridge between concepts, and which are truly ...