NERV++: An Enhanced Implicit Neural Video Representation

arXiv:2402.18305v1 Announce Type: cross
Abstract: Neural fields, also known as implicit neural representations (INRs), have shown a remarkable capability of representing, generating, and manipulating various data types, allowing for continuous data reconstruction at a low memory footprint. Though promising, INRs applied to video compression still need to improve their rate-distortion performance by a large margin, and require a huge number of parameters and long training iterations to capture high-frequency details, limiting their wider applicability. Resolving this problem remains a quite …

abstract arxiv capability compression continuous cs.cv data eess.iv fields implicit neural representations low memory performance rate representation type types video video compression