#arbitrary-scale-upsampling News & Analysis

Self-Cascaded Diffusion Models for Arbitrary-Scale Image Super-Resolution

Researchers introduce CasArbi, a self-cascaded diffusion framework that enables arbitrary-scale image super-resolution by decomposing scaling factors into sequential steps rather than handling them simultaneously. The method combines coordinate-conditioned diffusion models with self-consistency guidance to achieve superior scale consistency and outperforms existing approaches on multiple benchmarks.