Continuous Image

Continuous image research focuses on generating and manipulating images as continuous entities, rather than discrete frames or pixels, addressing challenges like seamless image transitions and high-resolution image synthesis. Current efforts involve developing novel neural network architectures, including those based on diffusion models and rotation-oriented approaches, to achieve smooth, high-quality results for tasks such as image outpainting, halftoning, and video interpolation. These advancements have significant implications for various fields, improving the realism and efficiency of image and video processing in applications ranging from virtual reality interactions to image restoration and content creation.