Diffusion models, integral in text-to-video and reference-guided image generation, leverage the UNet architecture, comprising an encoder, bottleneck, and decoder. While past research focused on the ...

This repository is the official implementation of DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLM. To train and evaluate the model, run this command: Step 1: If the data is ...

We adopted U-net, an encoder-decoder CNN (ED-CNN), which is an emerging deep neural network architecture for medical image segmentation, 16 and evaluated its performance in diffusion lesion volume ...

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