Diffusion

Checkout my GitHub for coding projects Towards Smaller Diffusion Models - Gaussian Mixture Masks and UNet Scaling #Diffusion Models #Deep Learning #Research Denoising diffusion probabilistic models (DDPMs) have demonstrated superior image generation capabilities but suffer from slow inference and high computational costs. As a first step to address these challenges, we propose two novel modifications to enhance small-scale diffusion models- Gaussian mixture masks and scaled skip connections. More details in the report or poster. ...