Nested diffusion models that generate images by progressively synthesizing hierarchical semantic latents from a frozen pretrained encoder improve image quality over single-level baselines at modest extra cost.
End- to-end object detection with transformers
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Nested Diffusion Models Using Hierarchical Latent Priors
Nested diffusion models that generate images by progressively synthesizing hierarchical semantic latents from a frozen pretrained encoder improve image quality over single-level baselines at modest extra cost.