IEEE

Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generation

Abstract: Denoising diffusion probabilistic models (DDPMs) have achieved unprecedented success in computer vision. However, they remain underutilized in medical imaging, a field crucial for disease ...
IEEE

Enhancing Semantic Segmentation with Synthetic Image Generation: A Novel Approach Using Stable Diffusion and ControlNet

Abstract: This paper presents a novel methodology for generating synthetic images that adhere accurately to provided semantic segmentation maps using the Stable Diffusion model with the ControlNet ...
Hosted on MSN

Photoshop tutorial: How to add a star-diffusion effect to photographs

Photoshop cc tutorial showing how to add a romantic, star-diffusion (twinkle) effect to your photos and then confine the effect to specific areas. Grocery stores are about to get worse What the US ...
GitHub

Datasets-for-Information-Diffusion-Tasks

We survey a systematic taxonomy of information diffusion tasks and datasets based on the "5W Model" framework. We categorize the information diffusion tasks into ten subtasks with definitions, ...
GitHub

Diffusion Transformers with Representation Autoencoders (RAE)

We present Representation Autoencoders (RAE), a class of autoencoders that utilize pretrained, frozen representation encoders such as DINOv2 and SigLIP2 as encoders with trained ViT decoders. RAE can ...