AI RESEARCH

The Mechanics of CNN Filtering with Rectification

arXiv CS.CV

ArXi:2512.24338v2 Announce Type: replace This paper proposes elementary information mechanics as a new model for understanding the mechanical properties of convolutional filtering with rectification, inspired by physical theories of special relativity and quantum mechanics. We consider kernels decomposed into orthogonal even and odd components. Even components cause image content to diffuse isotropically while preserving the center of mass, analogously to rest or potential energy with zero net momentum.