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 ...
Un-0 is an image-generation model built on Kuramoto dynamics: it generates an image by integrating the phase dynamics of a population of coupled oscillators — no diffusion schedule, no adversary, no ...
We propose DPCrossU-Net, a dual-branch parallel encoder–decoder network that integrates convolutional and Vision Transformer representations. The encoder employs parallel CNN and ViT branches with a ...
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