PNeRV: Enhancing Spatial Consistency via Pyramidal Neural Representation for Videos

arXiv:2404.08921v1 Announce Type: new
Abstract: The primary focus of Neural Representation for Videos (NeRV) is to effectively model its spatiotemporal consistency. However, current NeRV systems often face a significant issue of spatial inconsistency, leading to decreased perceptual quality. To address this issue, we introduce the Pyramidal Neural Representation for Videos (PNeRV), which is built on a multi-scale information connection and comprises a lightweight rescaling operator, Kronecker Fully-connected layer (KFc), and a Benign Selective Memory (BSM) mechanism. The KFc, inspired by …

abstract arxiv cs.cv current face focus however issue quality representation spatial systems type via videos