This project implements a generative model based on the UNET architecture coupled with a diffusion process to generate high-quality flower images at a resolution of 128x128 pixels. The diffusion ...

model devolped in this is a convolutional neural network (CNN) with a U-Net architecture, which is commonly used in denoising diffusion probabilistic models (DDPM). The U-Net architecture is known for ...

Image inpainting is one of the classic problems in computer vision, and it aims to restore masked regions in an image with plausible and natural content. Existing work employing traditional image ...

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 study introduces a novel methodology for generating levels in the iconic video game Super Mario Bros. using a diffusion model based on a UNet architecture. The model is trained on existing levels ...

The MU - Diffusion model has an MB of -0.018, which is closer to zero compared to the other models, indicating relatively better performance in terms of overall bias. Seasonally, in spring, the origin ...