HOIN: High-Order Implicit Neural Representations

arXiv:2404.14674v1 Announce Type: new
Abstract: Implicit neural representations (INR) suffer from worsening spectral bias, which results in overly smooth solutions to the inverse problem. To deal with this problem, we propose a universal framework for processing inverse problems called \textbf{High-Order Implicit Neural Representations (HOIN)}. By refining the traditional cascade structure to foster high-order interactions among features, HOIN enhances the model's expressive power and mitigates spectral bias through its neural tangent kernel's (NTK) strong diagonal properties, accelerating and optimizing inverse problem …

abstract arxiv bias cs.ai cs.cv cs.lg cs.mm deal framework implicit neural representations interactions processing results solutions type universal