AI RESEARCH
Scale Space Diffusion
arXiv CS.CV
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ArXi:2603.08709v1 Announce Type: new Diffusion models degrade images through noise, and reversing this process reveals an information hierarchy across timesteps. Scale-space theory exhibits a similar hierarchy via low-pass filtering. We formalize this connection and show that highly noisy diffusion states contain no information than small, downsampled images - raising the question of why they must be processed at full resolution.