Image Generation with Continuous Tendency Prediction

In this project, I present a new algorithm for image generation based on the classic diffusion model with several key modifications. Instead of predicting the noise with fixed steps, this algorithm predicts the pixel tendency in a continuous manner. And with an explicit latent space projection, the result is a light-weight model which generates high-quality images.