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Found 2 papers, 1 papers with code
Frequency-Time Diffusion with Neural Cellular Automata
Denoising Diffusion Models (DDMs) have become the leading generative technique for synthesizing high-quality images but are often constrained by their UNet-based architectures that impose certain limitations.
Synthesising Rare Cataract Surgery Samples with Guided Diffusion Models
Motivated by this, we analyse cataract surgery video data for the worst-performing phases of a pre-trained downstream tool classifier.
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